1791 Openai Jobs - Page 50

Role Description This is a full-time hybrid role for a Lead Data Scientist at UsefulBI Corporation, located in the Greater Bengaluru Area, with some work-from-home flexibility. The Lead Data Scientist/Architect will be responsible for overseeing all aspects of data science, including data analytics, visualization, and analysis. They will work on day-to-day tasks related to data engineering, AI/ML, and Business Intelligence to drive business transformation and exceed sustainable goals. Key Responsibilities Conduct complex data analyses to identify trends, patterns, and insights. Utilize statistical methods and machine learning techniques to forecast future trends. Advanced analytics, machine learning, AI Model development, training, and deployment (MLOps) Business insights using statistical and predictive modelling. Building scalable, reliable data pipelines Creating and managing data lakes, data warehouses ETL/ELT workflows Ensuring data quality, governance, and lineage. Dedicated leadership (Practice Head or CoE Lead). Defined service offerings and case studies. Reusable assets and accelerators and regular internal training and certifications. Client wins and repeatable success stories. Required Skills And Qualifications 7+ years of experience as a Data Scientist or ML Engineer. Strong expertise in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. Experience in end-to-end ML lifecycle including model development, validation, and deployment. Solid understanding of statistics, probability, and data modeling. Experience with NLP libraries (NLTK, spaCy, Hugging Face Transformers). Hands-on experience with GenAI tools: OpenAI APIs, Lang Chain, RAG, LLM fine-tuning. Experience with SQL and at least one NoSQL database. Familiarity with cloud platforms (AWS, GCP, Azure) and version control (Git). Strong communication skills with the ability to explain complex models to non-technical audiences. (ref:hirist.tech) Show more Show less

Job Summary Experience: 7-12 Years Location-Bangalore/Pune Job Description 7-12 Years’ experience in implementing IT Operations Management, Discovery, Monitoring, and AIOps solutions Experience of implementing BMC Helix ITOM / ITSM for at least 1 customer Design, Engineering and development experience on AIOPS and analytics solutions Strong understanding and experience on Machine Learning algorithms?for?various AIOPS use cases such as classification, clustering, and anomaly detections. Understanding of ITOM strategic approach to generative AI and Knowledge of configuring and obtaining the appropriate license to use GenAI capabilities Working Experience with one or more Hyper scalar AI/ GenAI offerings such as Azure OpenAI, Google Vertex, Llama. Understanding on GenAI implementations – Foundation models, Fine tuning, RAG, Prompt engineering. Working knowledge and understanding on development of?ML?models based on a widely used variety of?ML?algorithms like classifier algorithms (Linear, Logistics, decision tree, Naïve Bayes, Support Vector, KNN, Random?forest), clustering / outlier algorithms (K-means, mean-shitfing, DBSCAN, GMM, Hierarchical Clustering, etc), neural networks (ANN, RNN, etc) Development experience on?GenAI/ML/NLP for?IT Operations use cases. Strong prior experience on development and or/implementation of ITOM, ITSM and APM tools like OpenText OpsBridge, IBM Netcool, Sciencelogic, ServiceNow, BMC Remedy, OTRS, CA APM, Appdynamics, Dynatrace, ServiceNow Orchestrator, BMC Atrium Orchestrator, OpenText Operations Orchestrator Strong experience and background of IT Operations Management processes, IT Service Management Strong understanding of IT Operations Automation concepts and ability to leverage GenAI techniques for enabling it Strong understanding of Cloud & infrastructure technologies such as virtualization, hyper converged infrastructure, as-a-service, Software defined networks, servers, and storages Show more Show less

Job Summary Job Description 5-7 Years’ experience in implementing IT Operations Management, Discovery, Monitoring, and AIOps solutions Experience of implementing BMC Helix ITOM / ITSM for at least 1 customer Design, Engineering and development experience on AIOPS and analytics solutions Strong understanding and experience on Machine Learning algorithms?for?various AIOPS use cases such as classification, clustering, and anomaly detections. Understanding of ITOM strategic approach to generative AI and Knowledge of configuring and obtaining the appropriate license to use GenAI capabilities Working Experience with one or more Hyper scalar AI/ GenAI offerings such as Azure OpenAI, Google Vertex, Llama. Understanding on GenAI implementations – Foundation models, Fine tuning, RAG, Prompt engineering. Working knowledge and understanding on development of?ML?models based on a widely used variety of?ML?algorithms like classifier algorithms (Linear, Logistics, decision tree, Naïve Bayes, Support Vector, KNN, Random?forest), clustering / outlier algorithms (K-means, mean-shitfing, DBSCAN, GMM, Hierarchical Clustering, etc), neural networks (ANN, RNN, etc) Development experience on?GenAI/ML/NLP for?IT Operations use cases. Strong prior experience on development and or/implementation of ITOM, ITSM and APM tools like OpenText OpsBridge, IBM Netcool, Sciencelogic, ServiceNow, BMC Remedy, OTRS, CA APM, Appdynamics, Dynatrace, ServiceNow Orchestrator, BMC Atrium Orchestrator, OpenText Operations Orchestrator Strong experience and background of IT Operations Management processes, IT Service Management Strong understanding of IT Operations Automation concepts and ability to leverage GenAI techniques for enabling it Strong understanding of Cloud & infrastructure technologies such as virtualization, hyper converged infrastructure, as-a-service, Software defined networks, servers, and storages Show more Show less

We are seeking a forward-thinking and detail oriented Agentic AI Developer to join our AI Research and Development team. In this role, you will design, implement, and optimize autonomous AI agents capable of reasoning, decision-making, planning, and interacting with dynamic environments and toolchains. You will be building cutting-edge systems at the intersection of machine learning, cognitive architectures, and software engineering. You will also evaluate, guide, and help evolve agentic AI systems, AI agents with autonomous, goal-driven behaviour and decision-making abilities. Key Responsibilities Design and develop agentic AI systems with capabilities such AS autonomy and goal-directed behaviour, long-term memory and planning, self-reflection and reasoning loops, dynamic tool use and API integrations. Implement architectures like ReAct, AutoGPT, BabyAGI, and custom agent frameworks. Integrate foundation models (e.g., GPT-4, Claude, Gemini) into agent pipelines. Collaborate with product and engineering teams to deploy agents in real-world applications (e.g., customer support, RPA, research assistants). Optimize agent performance across reasoning speed, accuracy, and cost. Translate complex agent behaviours into clear, actionable reports for technical and non-technical stakeholders. Help design test scenarios and benchmark protocols for agent evaluation. Contribute to research, papers, or internal documentation on agent design strategies. Stay current with emerging trends in LLMs, autonomous agents, and neuro-symbolic AI Experience, Skills & Competencies Strong programming skills in Python and experience with LLM toolkits (LangChain, OpenAI API, HuggingFace) Solid understanding of agent design patterns: planner-executor loops, tool use, memory, chaining Experience with vector databases, embeddings, and semantic retrieval (e.g., Pinecone, Weaviate, FAISS) Familiarity with cognitive science or reinforcement learning concepts Experience building applications using LLMs or multi-agent systems Ability to work independently and iteratively in a fast-paced, exploratory R&D environment Research experience in AI, ML, NLP, or multi-agent systems Experience with open-source agents (AutoGPT, CrewAI, LangGraph) Understanding of ethical and safety considerations for autonomous AI Contributions to open-source agentic AI frameworks or community projects Show more Show less

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. What You Will Do Role Description: Specialist IS Engineer for GEN AI solutions across various Process Development functions(Drug Substance, Drug Product, Attribute Sciences & Combination Products) in Operations functions is responsible for building cutting edge GEN AI solutions. The role involves working closely with Data Scientists developing, implementing and sustaining GEN AI solutions to help find relevant, actionable information quickly and accurately. Roles & Responsibilities: Possesses strong rapid prototyping skills and can quickly translate concepts into working code Conduct code reviews to ensure code quality and adherence to best practices. Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations. Identify and resolve technical challenges effectively. Stay updated with the latest trends and advancements Work closely with product teams, business team, and other key partners. Design, develop, and deploy applications that use LLMs like OpenAI GPT Build and maintain MLOps pipelines, including data ingestion, chunking, vectorization, feature engineering, model training, deployment, and monitoring Design, fine-tuning, and optimization of state-of-the-art LLMs for various applications, focusing on both performance and accuracy Implement DevOps/MLOps/LLMOps standard methodologies to automate ML workflows and improve efficiency. Develop and implement monitoring systems to track model performance and identify issues. Conduct testing and experimentation to optimize model performance. Review code and maintain strong standards and practices on the team Work closely with data scientists, engineers, and product teams to deliver ML solutions. Stay updated with the latest trends and advancements What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate Degree OR Master’s degree with 4 - 6 years of experience in Software Engineering, Data Science or Machine Learning Engineering OR Bachelor’s degree with 6 - 8 years of experience in I Software Engineering, Data Science or Machine Learning Engineering OR Diploma with 10 - 12 years of experience in Software Engineering, Data Science or Machine Learning Engineering Great foundation in machine learning algorithms and techniques Must-Have Skills: Expertise in Python and relevant ML libraries (e.g., Langchain, TensorFlow, PyTorch) Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Excellent problem-solving skills and the ability to work with large, complex datasets. Experience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models. Experience in processing and leveraging unstructured data for GenAI applications Proven experience working with large language models (e.g., OPEN AI, LLAMA.). Experience in building, testing, and deploying machine learning models, particularly large language models, troubleshoot and optimize models. Experience in using cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment Preferred Qualifications: Solid understanding of Machine Learning (ML) workflows including ingesting, analyzing, transforming data and evaluating results to make meaningful predictions. Design, test, and deploy machine learning models, including LLMs, and develop scalable pipelines for both batch and real-time use cases. Professional Certifications: Machine Learning Certification (preferred on Databricks or Cloud environments). SAFe for Teams certification (preferred). Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Equal opportunity statement Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Show more Show less

Summary Position Summary Sr. GenAI Engineer – Manager Role Overview: As a Sr. GenAI Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive GenAI & engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player and mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Key Responsibilities: Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, contributing to low-level architecture and component design, development, unit testing, integrations, and support. Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/GenAI where possible/appropriate. Create technical specifications, and write high-quality, supportable, scalable code and review code of other engineers, mentoring them, to ensure all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including AI/ML/GenAI, Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate strong understanding of the full lifecycle product development, focusing on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Key Qualifications: A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. Excellent software engineering foundation with deep understanding of OOP/OOD, sequence/activity/state/ER/DFD diagrams, data-structure, algorithms, code instrumentations, etc. 10-13 years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc. Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc. Strong understanding and experience in managing big data of various forms to generate insights and create intelligence. Proven experience with Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL. Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP. Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. Work Location: Hyderabad Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 303075 Show more Show less

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: We are seeking an accomplished and visionary Data Scientist/ GenAI developer to join Amgen’s Enterprise Data Management team. As part of MDM team, you will be responsible for designing, developing, and deploying Generative AI and ML models to power data-driven decisions across business domains. This role is ideal for an AI practitioner who thrives in a collaborative environment and brings a strategic mindset to applying advanced AI techniques to solve real-world problems. To succeed in this role, the candidate must have strong AI/ML, Data Science, GenAI experience along with MDM knowledge, hence the candidates having only MDM experience are not eligible for this role. Candidate must have AI/ML, data science and GenAI experience on technologies like (PySpark/PyTorch, TensorFlow, LLM, Autogen, Hugging FaceVectorDB, Embeddings, RAGs etc), along with knowledge of MDM (Master Data Management) Roles & Responsibilities: Develop enterprise-level GenAI applications using LLM frameworks such as Langchain, Autogen, and Hugging Face. Design and develop intelligent pipelines using PySpark, TensorFlow, and PyTorch within Databricks and AWS environments. Implement embedding models and manage VectorStores for retrieval-augmented generation (RAG) solutions. Integrate and leverage MDM platforms like Informatica and Reltio to supply high-quality structured data to ML systems. Utilize SQL and Python for data engineering, data wrangling, and pipeline automation. Build scalable APIs and services to serve GenAI models in production. Lead cross-functional collaboration with data scientists, engineers, and product teams to scope, design, and deploy AI-powered systems. Ensure model governance, version control, and auditability aligned with regulatory and compliance expectations. Basic Qualifications and Experience: Master’s degree with 4 - 6 years of experience in Business, Engineering, IT or related field OR Bachelor’s degree with 6 - 9 years of experience in Business, Engineering, IT or related field OR Diploma with 10 - 12 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: 6+ years of experience working in AI/ML or Data Science roles, including designing and implementing GenAI solutions. Extensive hands-on experience with LLM frameworks and tools such as Langchain, Autogen, Hugging Face, OpenAI APIs, and embedding models. Strong programming background with Python, PySpark, and experience in building scalable solutions using TensorFlow, PyTorch, and SK-Learn. Proven track record of building and deploying AI/ML applications in cloud environments such as AWS. Expertise in developing APIs, automation pipelines, and serving GenAI models using frameworks like Django, FastAPI, and DataBricks. Solid experience integrating and managing MDM tools (Informatica/Reltio) and applying data governance best practices. Guide the team on development activities and lead the solution discussions Must have core technical capabilities in GenAI, Data Science space Good-to-Have Skills: Prior experience in Data Modeling, ETL development, and data profiling to support AI/ML workflows. Working knowledge of Life Sciences or Pharma industry standards and regulatory considerations. Proficiency in tools like JIRA and Confluence for Agile delivery and project collaboration. Familiarity with MongoDB, VectorStores, and modern architecture principles for scalable GenAI applications. Professional Certifications: Any ETL certification (e.g. Informatica) Any Data Analysis certification (SQL) Any cloud certification (AWS or AZURE) Data Science and ML Certification Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Show more Show less

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: We are seeking a highly skilled and experienced Principal AI Solution Architect to join our dynamic team. The candidate will lead the AI Solutioning and Designing across Enterprise Teams and cross-functional teams. They will primarily be working with the MDM CoE to lead and drive AI solutions and optimizations and also provide thought leadership. The role involves developing and implementing AI strategies, collaborating with cross-functional teams, and ensuring the scalability, reliability, and performance of AI solutions. To succeed in this role, the candidate must have strong AI/ML, Data Science, GenAI experience along with MDM knowledg. Candidate must have AI/ML, data science and GenAI experience on technologies like (PySpark/PyTorch, TensorFlow, LLM, Autogen, Hugging FaceVectorDB, Embeddings, RAGs etc), along with knowledge of MDM (Master Data Management) Roles & Responsibilities: Lead the Designing, solutioning and development of enterprise-level GenAI applications using LLM frameworks such as Langchain, Autogen, and Hugging Face. Architect intelligent pipelines using PySpark, TensorFlow, and PyTorch within Databricks and AWS environments. Implement embedding models and manage VectorStores for retrieval-augmented generation (RAG) solutions. Integrate and leverage MDM platforms like Informatica and Reltio to supply high-quality structured data to ML systems. Utilize SQL and Python for data engineering, data wrangling, and pipeline automation. Build scalable APIs and services to serve GenAI models in production. Lead cross-functional collaboration with data scientists, engineers, and product teams to scope, design, and deploy AI-powered systems. Ensure model governance, version control, and auditability aligned with regulatory and compliance expectations. Basic Qualifications and Experience: Master’s degree with 11 - 14 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Bachelor’s degree with 15 - 16 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Diploma with 17 - 18 years of hands-on experience in Data Science, AI/ML technologies, or related technical domains Functional Skills: Must-Have Skills: 14+ years of experience working in AI/ML or Data Science roles, including designing and implementing GenAI solutions. Extensive hands-on experience with LLM frameworks and tools such as Langchain, Autogen, Hugging Face, OpenAI APIs, and embedding models. Expertise in AI/ML solution architecture and design, knowledge of industry best practices Experience desining GenAI based solutions using Databricks platform Hands-on experience with Python, PySpark, PyTorch, LLMs, Vector DB, Embeddings, SciKit, Langchain, SK-learn, Tensorflow, APIs, Autogen, VectorStores, MongoDB, DataBricks, Django Strong knowledge of AWS and cloud-based AI infrastructure Excellent problem-solving skills Strong communication and leadership skills Ability to collaborate effectively with cross-functional teams and stakeholders Experience in managing and mentoring junior team members Must be able to provide thought leadership to the junior team members Good-to-Have Skills: Prior experience in Data Modeling, ETL development, and data profiling to support AI/ML workflows. Working knowledge of Life Sciences or Pharma industry standards and regulatory considerations. Proficiency in tools like JIRA and Confluence for Agile delivery and project collaboration. Familiarity with MongoDB, VectorStores, and modern architecture principles for scalable GenAI applications. Professional Certifications: Any Data Analysis certification (SQL, Python, Other DBs or Programming languages) Any cloud certification (AWS or AZURE) Data Science and ML Certifications Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Show more Show less

About Amgen Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Data Scientist What You Will Do The Global Quality Analytics and Innovation team leads the digital transformation and innovation effort throughout Amgen’s Quality organization. We are at the forefront of developing and rolling out data-centric digital tools, employing automation, artificial intelligence (AI), and generative AI to drive end-to-end quality transformation. We are seeking a highly motivated and experienced Data Scientist with a strong background in Generative AI, Large Language Models (LLMs), and MLOps, along with an understanding for Quality in regulated environments (e.g., GxP). This role will play a key part in designing, developing, and deploying scalable AI/ML solutions to drive innovation, efficiency, and regulatory compliance across the organization. You will collaborate with cross-functional teams, including software engineers, data engineers, business stakeholders, and quality professionals to deliver AI-driven capabilities that support strategic business objectives. The ideal candidate is an analytical thinker with excellent technical depth, communication skills, and the ability to thrive in a fast-paced, agile environment. Key Responsibilities Design, build, and deploy generative AI and LLM-based applications using frameworks such as LangChain, LlamaIndex, and others. Engineer reusable and effective prompts for LLMs like OpenAI GPT-4, Anthropic Claude, etc. Develop and maintain evaluation metrics and frameworks for prompt engineering. Conduct data quality assessments, data cleansing, and ingestion of unstructured documents into vector databases. Build retrieval algorithms for relevant data identification to support LLMs and AI applications. Ensure AI/ML development complies with GxP and other regulatory standards, fostering a strong Quality culture. Partner with global and local teams to support regulatory inspection readiness and future technological capabilities in AI. Share insights and findings with team members in an Agile (SAFe) environment. What We Expect Of You Basic Qualifications: Master’s degree and 2 – 4 years of experience in Software Engineering, Data Science, or ML Engineering or Bachelor’s degree and 3 to 5 years of experience in Software Engineering, Data Science, or ML Engineering or Diploma and 7 to 9 years of experience in Software Engineering, Data Science, or ML Engineering Preferred Qualifications: Experience in developing and deploying LLM applications. Strong foundation in ML algorithms, data science workflows, and NLP. Expertise in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with MLOps tools (e.g., MLflow, CI/CD, version control). Experience with cloud platforms (AWS, Azure, GCP) and tools like Spark, Databricks. Understanding of RESTful APIs and frameworks like FastAPI. Experience with BI and visualization tools (e.g., Tableau, Streamlit, Dash). Knowledge of GxP compliance and experience working in regulated environments. Strong communication skills with the ability to explain complex topics to diverse audiences. High degree of initiative, self-motivation, and ability to work in global teams. What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Show more Show less

Role & responsibilities Lead the development of generative AI applications using OpenAI models, LLMs, and RAG methods to enhance the accuracy and relevance of AI responses. Develop and optimize prompt engineering strategies for specific use cases to improve AI output quality. Build and integrate AI models into scalable applications using serverless architecture and cloud infrastructure (Azure preferred). Implement RAG techniques, combining retrieval of relevant data with LLM responses for accurate and context-aware outputs. Collaborate with product teams to integrate AI capabilities into the broader product ecosystem. Design and implement APIs that leverage AI models for real-time data processing and user interaction. Enhance performance and fine-tune LLMs for high accuracy and relevancy in diverse applications. Manage AI model deployment, monitoring, and improvement processes to ensure long-term scalability. Work on natural language processing (NLP) solutions to improve customer experience through AI-driven features. Ensure adherence to security, privacy, and ethical considerations of AI models. Lead a team of developers and collaborate with data scientists to integrate and optimize AI functionalities. Provide technical guidance and mentorship to junior developers in AI, LLM, and RAG projects. Preferred candidate profile 3-5 years of experience in AI and machine learning development, with a focus on generative AI and LLMs. Extensive experience with OpenAI, GPT models, and RAG methodologies. Expertise in prompt engineering for AI-driven applications. Strong experience in full-stack development with technologies like Python, Azure, and serverless architectures. Proven experience with Azure services such as Azure Container Apps, Azure Data Lake, Azure Cosmos DB, Azure SQL DB, and Azure Data Factory. Knowledge of API design, real-time data processing, and AI model optimization. Hands-on experience with NLP technologies and frameworks. Familiarity with CI/CD pipelines and best practices for continuous deployment and integration. Strong understanding of AI ethics, data privacy, and security considerations in AI-powered applications. Nice to Have: Experience with mobile development frameworks (e.g., CapacitorJS, Ionic). Familiarity with front-end frameworks and design principles (e.g., Material UI). Experience in advanced AI platforms (e.g., Bedrock, Anthropic). Experience in AI-powered chatbots and conversational AI solutions. Benefits: Competitive salary with performance bonuses. Fully remote and flexible working environment. Opportunities to work with cutting-edge AI technologies and innovative product teams. Career growth in a rapidly evolving industry focused on Generative AI and machine learning

About: Intervue.io is revolutionizing the technical hiring landscape by providing an all-in-one platform that streamlines the interview process. Our mission is to empower companies to hire better and faster through standardized, scalable, and efficient technical interviews. With a growing presence in the India, US, and MENA regions, and a dynamic team based in HSR Layout, Bangalore, we're poised for our next phase of growth. As a seed-stage startup that has grown 4X year-over-year, we're looking for ambitious talent to join our journey. At Intervue.io we are seeking a strong Founding Engineer - Full stack (backend focus) to join our growing teams and projects. This person will be involved in the hands-on development and maintenance of our family of websites, mobile sites, and internal web applications. This role requires someone with at least several years of professional experience. Experience with Nodejs, Express js, Postgres, Redis, AWS, release Engineering is absolutely required. If you’re interested in joining a dynamic, creative, and innovative company at the ground level then this may be the perfect opportunity for you! Education: Bachelor’s degree in Computer Science, Computer Engineering, Systems Engineering or relevant field of study. Work Experiences: 5+ years of experience developing and deploying large-scale websites and website content or demonstrated skill level in previous positions. Primary Responsibilities: Responsible for developing and maintaining custom software using intervue.io standards coding practices and techniques. Responsible for architecting and developing functioning solutions based on technical requirements. Lead and manage a multidisciplinary engineering team, ensuring effective collaboration, task delegation, and timely completion of project milestones while fostering a positive and productive work environment. Demonstrate strong leadership skills by guiding the team through complex technical challenges, making critical decisions, and driving continuous improvement initiatives to achieve project objectives and organisational goals. Maintain confidentiality of personal information. Interface with others in a professional manner and be a trusted go to person. Fosters an environment of communication and problem solving, leveraging the intervue.io Code of Values. Responsible for ensuring tasks assigned are completed in a timely manner. Responsible for documenting and communicating application design and architecture in an understandable way to peers. Responsible for assisting and performing code review of other developers. Works with enterprise technical leads, and other developers to ensure scalable and quality solutions. Design and implement scalable Gen AI architectures capable of handling large datasets, leveraging distributed computing frameworks. Develop and deploy cutting-edge generative AI solutions using advanced tools and frameworks such as OpenAI GPT, Google BERT, DALL·E, Stable Diffusion, Transformers (Hugging Face), and DeepMind to enhance product offerings and user experience. Key Tech Requirements: Frontend : React(SSR), Redux, Typescript Backend : Node, Express, Redis, Postgres Aws services like s3, lambda, cloud front, ec2, Eks knowledge in Infra(AWS, Docker, Kubernetes), Release Engineering, CI/CD, other tools and frameworks Exposure in Generative AI technologies such as GPT, BERT, GANs, VAE, Diffusion Models, and Neural Architecture Search (NAS). Qualifications: 5-8 years of experience in a Product based organisation Producing clean, efficient code based on specifications Testing and deployments understanding Familiarity with Agile development methodologies Ability to learn new languages and technologies Show more Show less

Role description About the Role: We are looking for a dynamic and tech-savvy Pre-Sales Consultant with exceptional deck creation & storytelling skills . You’ll work closely with Sales, Product, and Delivery teams to understand client needs, shape GenAI-powered solutions, and present them in compelling business terms to enterprise clients. Key Responsibilities: Design and present GenAI use cases like document summarization, knowledge assistants, intelligent search, and content generation. Build high-impact decks and demos to communicate value propositions clearly to both technical and non-technical audiences. Collaborate with Data Scientists, Engineers, and Product Managers to scope solutions and create proposal responses (RFPs/RFIs). Stay updated on the latest LLMs, APIs, and tools like OpenAI, LangChain, Anthropic, Hugging Face, etc. Conduct proof of concept (POC) discussions and map customer problems to GenAI capabilities. Support go-to-market initiatives, GenAI workshops, and client enablement programs. Required Qualifications: 5–10 years of experience in Pre-Sales / Solution Consulting / AI Product roles Strong understanding of LLMs, RAG architecture, vector databases, and prompt engineering Demonstrated experience with AI/ML use cases , ideally in NLP/GenAI space Proven ability to create visually compelling decks and pitch narratives using PowerPoint, Canva, or equivalent tools Excellent client-facing communication and presentation skills Experience working with cross-functional teams and influencing C-level stakeholders Show more Show less

India - Hyderabad JOB ID: R-216104 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: May. 30, 2025 CATEGORY: Information Systems Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. What you will do Role Description: Specialist IS Engineer for GEN AI solutions across various Process Development functions(Drug Substance, Drug Product, Attribute Sciences & Combination Products) in Operations functions is responsible for building cutting edge GEN AI solutions. The role involves working closely with Data Scientists developing, implementing and sustaining GEN AI solutions to help find relevant, actionable information quickly and accurately. Roles & Responsibilities: Possesses strong rapid prototyping skills and can quickly translate concepts into working code Conduct code reviews to ensure code quality and adherence to best practices. Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations. Identify and resolve technical challenges effectively. Stay updated with the latest trends and advancements Work closely with product teams, business team, and other key partners. Design, develop, and deploy applications that use LLMs like OpenAI GPT Build and maintain MLOps pipelines, including data ingestion, chunking, vectorization, feature engineering, model training, deployment, and monitoring Design, fine-tuning, and optimization of state-of-the-art LLMs for various applications, focusing on both performance and accuracy Implement DevOps/MLOps/LLMOps standard methodologies to automate ML workflows and improve efficiency. Develop and implement monitoring systems to track model performance and identify issues. Conduct testing and experimentation to optimize model performance. Review code and maintain strong standards and practices on the team Work closely with data scientists, engineers, and product teams to deliver ML solutions. Stay updated with the latest trends and advancements What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate Degree OR Master’s degree with 4 - 6 years of experience in Software Engineering, Data Science or Machine Learning Engineering OR Bachelor’s degree with 6 - 8 years of experience in I Software Engineering, Data Science or Machine Learning Engineering OR Diploma with 10 - 12 years of experience in Software Engineering, Data Science or Machine Learning Engineering Great foundation in machine learning algorithms and techniques Must-Have Skills: Expertise in Python and relevant ML libraries (e.g., Langchain, TensorFlow, PyTorch) Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Excellent problem-solving skills and the ability to work with large, complex datasets. Experience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models. Experience in processing and leveraging unstructured data for GenAI applications Proven experience working with large language models (e.g., OPEN AI, LLAMA.). Experience in building, testing, and deploying machine learning models, particularly large language models, troubleshoot and optimize models. Experience in using cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment Preferred Qualifications: Solid understanding of Machine Learning (ML) workflows including ingesting, analyzing, transforming data and evaluating results to make meaningful predictions. Design, test, and deploy machine learning models, including LLMs, and develop scalable pipelines for both batch and real-time use cases. Professional Certifications: Machine Learning Certification (preferred on Databricks or Cloud environments). SAFe for Teams certification (preferred). Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Equal opportunity statement Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Quality Software Engineer (AI Automation) – CL4 Role Overview: As a Quality Engineer specializing in artificial intelligence (AI) and Generative AI (GenAI) technologies, you will actively engage in your quality engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users while also driving tangible value for Deloitte's business investments. You will leverage your quality engineering craftsmanship across multiple quality assurance disciplines and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will have a background in quality assurance, test automation, and an understanding of AI and GenAI technologies. This role will be pivotal in enhancing our testing frameworks and ensuring the highest quality standards for our products. Key Responsibilities: Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop quality engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, AI-driven test automations. Technical Leadership and Advocacy: Serve as the quality advocate for products, ensuring high-quality automation coverage, appropriateness, feasibility, and alignment with business and customer goals. Design, develop, and maintain advanced automation frameworks to drive “Automation first mindset” using advanced techniques including BDD, AI and GenAI technologies to streamline and enhance the testing process. Engineering Craftsmanship: Maintain accountability for the integrity of test design, test automation, their ongoing maintenance and scale, as well as the quality of solutions. Stay hands-on, self-driven, and continuously learn new approaches, tools, techniques, and frameworks. Integrate AI and GenAI tools and techniques into existing testing processes to improve accuracy, efficiency, and coverage of automated tests. Customer-Centric Engineering: Develop lean quality engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, engineering, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess basic knowledge of modern quality engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using techniques like fully automated in-sprint testing to accept the stories and work products, powered by AI/GenAI, throughout the SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate an understanding of the full lifecycle product development, focusing on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs and UX/UI designs into test automation. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. Effective Communication and Influence: Exhibit strong communication skills, capable of articulating complex technical concepts clearly and compellingly. Support teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes and leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Key Qualifications: § A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. § 5+ years of experience in quality assurance and test automation including coding the test scripts, with at least 1-2 years focused on AI and GenAI technologies. § Hands-on experience with automation-first techniques like BDD and test automation tools like TOSCA, Selenium, Gherkin, Functionize, Testim, AccelQ. § Experience with AI/GenAI tools and frameworks (e.g., TensorFlow, PyTorch, OpenAI, Python, etc.). § Understanding of machine learning algorithms and their application in test automation. § Experience with cloud hyper-scalers like Azure, AWS, and GCP. § Good understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, ADO, GitHub, SonarQube, etc. § Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. How You will Grow: At Deloitte, our professional development plans focus on helping people at every level of their career to identify and use their strengths to do their best work every day and excel in everything they do. #CA-PS Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 303284

Company Overview Expertia AI is a deep-tech SaaS platform creating an AI Recruiter to improve the hiring process with the goal to make hiring in real-time a reality! Expertia started in 2021 and now serves more than 15,000+ companies. It has become a leading platform in India, with over 23 million professionals. Our customers include startups and companies like Zepto, Google, NoBrocker, Reliance Jio, and many more. We are backed by marquee investors like Chiratae Ventures, Endiya Partners, and Entrepreneurs First. But most importantly, we’re growing at a phenomenal pace, and that means exponential growth and learning opportunities for you, plus a band of passionate and fun people to work with within a place where your ideas take precedence over your designation. Are you passionate about building AI-powered applications using the latest LLMs like GPT, Llama, and Gemini? Do you enjoy working with Python, Flask, and AWS , developing crawlers, scrapers, and data mining pipelines to extract insights from resumes, job descriptions, and public datasets? At Expertia AI , we’re on a mission to revolutionize recruitment with AI-driven solutions. As an AI Engineer , you’ll play a critical role in building scalable applications that leverage LLMs, NLP, and automation to transform how companies find top talent. What You’ll Do: Develop and optimize crawlers, scrapers, and data pipelines to extract structured insights from job-related content. Build AI-powered applications using OpenAI, GPT, Llama, Gemini , and other cutting-edge models. Work with Flask, Python, and AWS to deploy scalable AI services. Collaborate with a dynamic team of AI researchers, engineers, and product leaders to create intelligent recruiting solutions. What We’re Looking For: Strong expertise in Python, Flask, and AWS deployment . Hands-on experience with web scraping, data mining, or crawling large-scale datasets . Familiarity with LLMs, NLP, and AI model integration . Experience working with APIs, databases, and scalable architectures . Bonus: Knowledge of Vector databases, RAG (Retrieval-Augmented Generation), and AI-based search . Why Join Us? 🚀 Impactful Work: Build AI that transforms hiring at scale. 🌍 Cutting-Edge Tech: Work with the latest LLMs and AI innovations. 💡 Growth & Learning: Fast-paced, high-growth startup culture with opportunities to lead. 🤝 Collaborative Team: Join passionate AI & ML experts shaping the future of recruitment. Show more Show less

Who we are We are Fluxon, a product development team founded by ex-Googlers and startup founders. We offer full-cycle software development: from ideation and design to build and go-to-market. We partner with visionary companies, ranging from fast-growing startups to tech leaders like Google and Stripe, to turn bold ideas into products with the power to transform the world. The role is open to candidates based in Gurgaon, India. About the role As a Senior Software Engineer at Fluxon, you'll have the opportunity to bring products to market while learning, contributing, and growing with our team. You'll be responsible for: Driving end-to-end implementations all the way to the user, collaborating with your team to build and iterate in a dynamic environment Engaging directly with clients to understand business goals, give demos, and debug production issues Informing product requirements, identifying appropriate technical designs in partnership with our Product and Design teams Proactively communicating progress and challenges in your work and seeking help when you need it Performing code reviews and cross-feature validations Providing mentorship in your areas of expertise You'll work with a diversity of technologies, including: Languages TypeScript/JavaScript, Java, .Net, Python, Golang, Rust, Ruby on Rails, Kotlin, Swift Frameworks Next.js, React, Angular, Spring, Expo, FastAPI, Django, SwiftUI Cloud Service Providers Google Cloud Platform, Amazon Web Services, Microsoft Azure Cloud Services Compute Engine, AWS Amplify, Fargate, Cloud Run Apache Kafka, SQS, GCP CMS S3, GCS Technologies AI/ML, LLMs, Crypto, SPA, Mobile apps, Architecture redesign Google Gemini, OpenAI ChatGPT, Vertex AI, Anthropic Claude, Huggingface Databases Firestore(Firebase), PostgreSQL, MariaDB, BigQuery, Supabase Redis, Memcache Qualifications 3+years of industry experience in software development Experienced with the full product lifecycle, including CI/CD, testing, release management, deployment, monitoring and incident response Fluent in software design patterns, scalable system architectures, tooling, fundamentals of data structures and algorithms What we offer Exposure to high-profile SV startups and enterprise companies Competitive salary Fully remote work with flexible hours Flexible paid time off Profit-sharing program Healthcare Parental leave, including adoption and fostering. Gym membership and tuition reimbursement. Hands-on career development.

Role –Senior Gen AI Engineer Job Location - Hyderabad Mode of Interview - Virtual Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Position responsibilities and expectations Stakeholder facing role across different functions of the organizations (e.g., Marketing, Finance, Logistics, Procurement, Customer, Supply Chain, HR) to develop analyses that lead to actionable insights that accelerate profitable growth Working with bigdata, SAP, Oracle, Workday or several other large and complex databases Designing and building analytical / ML algorithms using Python, R and other statistical tools. Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. Ability to learn new scripting language or analytics platform. Technical Skills Required (must Have) Exposure to Generative AI Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) Strong knowledge of SQL and R/Python and experience with distribute data/computing tools. Experience in advanced Text Analytics (NLP, NLU, NLG). Strong hands-on experience of end-to-end statistical model development and implementation Basic understanding of MLOps for scalable ML development. Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. Exposure to Cloud technologies (Azure or AWS or GCP) Technical Skills Required (Any One Or More) Experience in video/ image analytics Experience in IoT/ machine logs data analysis Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME Expertise in Cloud analytics platforms (Azure, AWS or Google) Experience in Process Mining with expertise in Celonis or other tools Proven capability in using Generaitive AI services like OpenAI, Google Proven capability in building customized models from open source distributions like Llama, Stable Diffusion Consulting Skills Required Excellent Comprehension, Written and Oral Communication skill Positive, people-oriented, and energetic attitude Analytical, creative, and innovative approach to solving problems Strong written and verbal communication Ability to work both independently and as a part of diverse teams Degrees/Certifications Earned Ph.D/ M.Sc. / M.Stat/ MS (Statistics / Mathematics/ Economics/ Computer Science or ML/DL focus) B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.) Others 3 to 14 years' experience in Analytics modeling Open for domestic and international travels Mandatory Skills: Datascience Preferred Skills: Datascience Years of Experience: 10-15 Qualifications: BTech Education (if blank, degree and/or field of study not specified) Degrees/Field Of Study Required Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Science Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Experience : 2+ years Location : Surat - Varachha 5-Days Working Paid Leaves Complimentary Health Insurance Overtime Pay Fun Activities Personal Loan Employee Training Positive Work Environment Professional Developments Job Description: We are looking for an experienced AI/ML cum Python Developer with 2+ years of hands-on work in machine learning, Python development, and API integration. The ideal candidate should also have experience building AI agents —smart systems that can plan tasks, make decisions, and work independently using tools like LangChain, AutoGPT, or similar frameworks. You’ll be part of a collaborative team, working on real-world AI projects and helping us build intelligent, scalable solutions. Job Responsibility: Key Responsibilities: Develop, train, and deploy machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Develop AI agents capable of decision-making and multi-step task execution Write efficient and maintainable Python code for data processing, automation, and end services. Design and implement REST APIs or end services for model integration. Handle preprocessing, cleaning, and transformation of large datasets. Evaluate model accuracy and performance, and make necessary optimizations. Collaborate with cross-functional teams including UI/UX, QA, and product managers. Stay updated with the latest trends and advancements in AI/ML. Key Performance Areas (KPAs): Development of AI/ML algorithms and end services AI agent development and performance Model evaluation, testing, and optimization Seamless deployment and integration of models in production Technical documentation and project support Research and implementation of emerging AI technologies Key Performance Indicators (KPIs): Accuracy and efficiency of AI models delivered Clean, reusable, and well-documented Python code Timely delivery of assigned tasks and milestones Issue resolution and minimal bugs in production Contribution to innovation and internal R&D efforts Required Skills & Qualification: Bachelor’s or Master’s degree in Computer Science, IT, or related field Minimum 2 years of experience in Python and machine learning Hands-on with AI agent tools like LangChain, AutoGPT, OpenAI APIs, Pinecone, etc. Strong foundation in algorithms, data structures, and mathematics Experience with Flask, FastAPI, or Django for API development Good understanding of model evaluation and optimization techniques Familiarity with version control tools like Git Strong communication and team collaboration skills Interview Process: HR Round Technical Round Practical Round Salary Negotiation Offer Release

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. About the Group: Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy role with real-world applications, significant autonomy, and room to innovate. This role is based in Noida. But you’ll also get to visit other locations in India and globe, so you’ll need to go where this job takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! Key Responsibilities: We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the QuestaSim (Simulation) R&D team at Siemens EDA. In this role, you will: Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). Build intelligent systems that understand natural language queries and automate complex workflows. Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. Prototype and productize tools that leverage code understanding, profiling, and data analysis. Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. Work on prompt engineering, few-shot learning, and tool use orchestration What We’re Looking For: Must-Have: Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). We are looking for candidates with 2-4 years of proven experience. Strong working knowledge of LangChain, RAG pipelines, and vector stores. Strong understanding and experience in application of Deep Learning models like ANNs and transformers. Experience in developing AI agents or copilots that interface with tools or external APIs. Proficiency in Python; familiarity with software design patterns and clean code. Practical experience in data preprocessing, feature engineering, and model evaluation. Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have : Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us? Work on cutting-edge AI R&D projects with real product impact! Be part of a startup-like team within a global tech company. Opportunity to lead innovation, publish internally, and drive industry-first solutions. Competitive compensation, flexibility, and a collaborative culture. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, variable pay, other benefits, pension, healthcare and actively support working from home. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Transform the everyday #DVT Show more Show less

We're Hiring: AI DevOps Engineer – ML, LLM & Cloud for Battery & Livestock Intelligence 📍 Hyderabad / Remote | 🧠 3–8 Years Experience 💼 Full-time | Deep Tech | AI-Driven IoT At Vanix Technologies , we’re solving real-world problems using AI built on top of IoT data — from predicting the health of electric vehicle batteries to monitoring livestock behavior with BLE sensors. We’re looking for a hands-on AI DevOps Engineer who understands not just how to build ML/DL models, but also how to turn them into intelligent cloud-native services . If you've worked on battery analytics or sensor-driven ML , and you're excited by the potential of LLMs + real-time IoT — this is for you. What You’ll Work On 🔋 EV Battery Intelligence Build models for SOH, true SOH, SOC, RUL prediction , thermal event detection, and high-risk condition classification. Ingest and process time-series data from BMS, CAN bus, GPS , and environmental sensors. Deliver analytics that plug into our BatteryTelematicsPro SaaS for OEMs and fleet customers. 🐄 Livestock Monitoring AI Analyze BLE sensor data from our cattle wearables (motion, temp, rumination proxies). Develop models for health anomaly detection, estrus prediction, movement patterns , and outlier behaviors. Power actionable insights for farmers via mobile dashboards and alerts. 🤖 Agentic AI & LLM Integration Chain ML outputs with LLMs (e.g., GPT-4, Claude) using LangChain or similar frameworks . Build AI assistants that summarize events, auto-generate alerts, and respond to user queries using both structured and ML-derived data. Support AI-powered explainability and insight generation layers on top of raw telemetry. ☁️ Cloud ML Engineering & DevOps Deploy models on AWS (Lambda, SageMaker, EC2, ECS, CloudWatch). Design and maintain CI/CD pipelines for data, models, and APIs. Optimize performance, cost, and scalability of cloud workloads. ✅ You Must Have Solid foundation in ML/DL for time-series / telemetry data Hands-on with PyTorch / TensorFlow / Scikit-learn / XGBoost Experience with battery analytics or sensor-based animal behavior prediction Understanding of LangChain / OpenAI APIs / LLM orchestration AWS fluency: Lambda, EC2, S3, SageMaker, CloudWatch Python APIs Nice to Have MLOps stack (MLFlow, DVC, W&B) BLE signal processing or CAN bus protocol parsing Prompt engineering or fine-tuning experience Exposure to edge-to-cloud model deployment Why Vanix Technologies? Because we're not another AI lab — we're a deep-tech company building production-ready AI platforms that interact with real devices in the field , used by farmers, OEMs, and EV fleets . You’ll work at the intersection of: IoT + AI + LLMs Hardware + Cloud Mission-critical data + Everyday impact Show more Show less

The Group You’ll Be A Part Of Global Information Systems - Enterprise Analytics and Engineering - Data science Hub The Impact You’ll Make As a full-stack software engineer for GenAI at Lam Research, you will develop AI-driven enterprise applications, including chatbots on company data. You will play a key role in developing both backend services and frontend user interfaces for LLM-enabled applications. Collaborating with a dedicated team of data scientists and software engineers, you will deliver innovative solutions that drive significant business value and enhance user experiences. What You’ll Do Design, develop, and maintain scalable APIs and backend services to support enterprise-level GenAI applications. Engage in frontend development tasks, ensuring a seamless user experience across various platforms. Apply SDLC best practices, including requirement analysis, coding standards, code reviews, source control management, build processes, testing, and operations. Work closely with data scientists, project managers, and other software engineers to translate requirements into high-quality, user-centric software solutions. Who We’re Looking For 10+ years of experience in full-stack software engineering with a focus on API development and frontend technologies. Typically requires a minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years experience; or equivalent experience. Preferred Qualifications 10+ years of experience in full-stack software engineering with a focus on API development and frontend technologies. Proficiency in Python, JavaScript/TypeScript, and modern frontend frameworks like Svelte. Expertise developing CI/CD pipelines, automated testing, and deployment strategies. Proficiency using Azure or similar cloud computing ecosystem. Strong communication skills, and ability to collaborate with cross-functional teams. Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment. Additional Qualifications Experience developing GenAI applications leveraging LLMs, including chatbots using RAG, function-calling, and agentic architectures. Experience with GenAI development tools such as OpenAI, LangChain, and GraphRAG. Our Commitment We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results. Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time. Show more Show less

🚀 AI Engineering Intern (SDE) – Founding Tech Interns | Opportunity of a Lifetime Location: Gurgaon (In-Office) Duration: 3–6 months (Flexible based on academic schedule) Start Date: Immediate openings Open to: Tier 1 college students graduating in 2025 or 2026 Compensation: Stipend + Pre-Placement Offer potential + Founders’ recommendation for global fellowships (Google, Meta, etc.) 🧠 About Us – Darwix AI Darwix AI is on a mission to solve a problem no one's cracked yet — building real-time, multilingual conversational intelligence for omnichannel enterprise sales teams using the power of Generative AI. We're building India’s answer to Gong + Refract + Harvey AI — trained on 1M+ hours of sales conversations, and packed with industry-first features like live agent coaching , speech-to-text in 11 Indic languages , and autonomous sales enablement nudges . We’ve got global clients, insane velocity, and a team of ex-operators from IIMs, IITs, and top-tier AI labs. 🌌 Why This Internship is Unlike Anything Else 💡 Work on a once-in-a-decade problem — pushing the boundaries of GenAI + Speech + Edge compute. 🛠️ Ship real products used by enterprise teams across India & the Middle East. 🧪 Experiment freely — train models, optimize pipelines, fine-tune LLMs, or build scrapers that work in 5 languages. 🚀 Move fast, learn faster — direct mentorship from the founding engineering and AI team. 🏆 Proof-of-excellence opportunity — stand out in every future job, B-school, or YC application. 💻 What You'll Do Build and optimize core components of our real-time agent assist engine (Python + FastAPI + Kafka + Redis). Train, evaluate, and integrate whisper, wav2vec, or custom STT models on diverse datasets. Work on LLM/RAG pipelines , prompt engineering, or vector DB integrations. Develop internal tools to analyze, visualize, and scale insights from conversations across languages. Optimize for latency, reliability, and multilingual accuracy in dynamic customer environments. 🌟 Who You Are Pursuing a B.Tech/B.E. or dual degree from IITs, IIITs, BITS, NIT Trichy/Warangal/Surathkal, or other top-tier institutes. Comfortable with Python , REST APIs, and database operations. Bonus: familiarity with FastAPI, Langchain, or HuggingFace. Passionate about AI/ML, especially NLP, GenAI, ASR, or multimodal systems. Always curious, always shipping, always pushing yourself beyond the brief. Looking for an internship that actually matters — not one where you're just fixing CSS. 🌐 Tech You’ll Touch Python, FastAPI, Kafka, Redis, MongoDB, Postgres Whisper, Deepgram, Wav2Vec, HuggingFace Transformers OpenAI, Anthropic, Gemini APIs LangChain, FAISS, Pinecone, LlamaIndex Docker, GitHub Actions, Linux environments 🎯 What’s in it for you A pre-placement offer for the best performers. A chance to be a founding engineer post-graduation. Exposure to the VC ecosystem , client demos, and GTM strategies. Stipend + access to tools/courses/compute resources you need to thrive. 🚀 Ready to Build the Future? If you’re one of those rare folks who can combine deep tech with deep curiosity , this is your call to adventure. Join us in building something that’s never been done before. Apply now at careers@cur8.in Attach your CV + GitHub/Portfolio + a line on why this excites you. Bonus points if you share a project you’ve built or an AI problem you’re obsessed with. Darwix AI | GenAI for Revenue Teams | Built from India for the World Show more Show less

🚀 What we’re building CodeRound AI matches top 5% tech talent to fastest growing VC funded AI startups in Silicon Valley and India. Candidates apply once and get UPTO 20 remote as well as onsite interview opportunities IF selected! T op-tier product startups in US, UAE & India have hired top engineers & ML folk using CodeRound 🧩 What you'll do Design, build, and iterate on LLM-based systems that score freeform answers, generate real-time feedback, and assist. Optimize prompt workflows and build tool-augmented agents that evaluate coding, reasoning, and system design responses. Implement and tune RAG pipelines to personalize interviews, fetch dynamic context, and reduce hallucinations. Define LLM evaluation frameworks — accuracy, consistency, bias, and interpretability. Collaborate with backend and product to ship fast, test with users, and refine in production. Keep up with SOTA papers, models, and tools — and bring them to life in real applications. ✅ You’ll thrive here if you: Have built LLM-based applications in production — not just toy projects. Are strong in Python, familiar with LangChain/LlamaIndex, and have worked with OpenAI, Claude, or open-weight models. Understand LLM failure modes — and how to prompt, chain, or retrieve around them. Think like a product engineer — fast, iterative, user-focused, and not afraid to ship experiments. Are excited about building LLM features that go beyond chat — evaluation, scoring, ranking, summarization. ⚡ Bonus if you: Have experience with vector DBs (Pinecone, Weaviate, etc.), semantic search, and evaluation frameworks. Have worked on AI in edtech, hiring, developer tools, or assessment. Have finetuned models or built systems around LLM agents + tools. Want to grow into a Founding AI Lead role. ✨ Why CodeRound? You’ll own mission-critical LLM systems used by top startups You’ll work with a fast team of engineers and founders who’ve built and scaled startups before. You’ll ship fast, see real user feedback, and influence product + infra decisions from Day 1. Show more Show less

AI Agent Development - Python (CrewAI + LangChain) Location: Noida / Gwalior (On-site) Experience Required: Minimum 3+ years Employment Type: Full-time 🚀 About the Role We're seeking a AI Agent Developer (Python) with hands-on experience in CrewAI and LangChain to join our cutting-edge AI product engineering team. If you thrive at the intersection of LLMs, agentic workflows, and autonomous tooling — this is your opportunity to build real-world AI agents that solve complex problems at scale. You’ll be responsible for designing, building, and deploying intelligent agents that leverage prompt engineering, memory systems, vector databases, and multi-step tool execution strategies. 🧠 Core Responsibilities Design and develop modular, asynchronous Python applications using clean code principles. Build and orchestrate intelligent agents using CrewAI: defining agents, tasks, memory, and crew dynamics. Develop custom chains and tools using LangChain (LLMChain, AgentExecutor, memory, structured tools). Implement prompt engineering techniques like ReAct, Few-Shot, and Chain-of-Thought reasoning. Integrate with APIs from OpenAI, Anthropic, HuggingFace, or Mistral for advanced LLM capabilities. Use semantic search and vector stores (FAISS, Chroma, Pinecone, etc.) to build RAG pipelines. Extend tool capabilities: web scraping, PDF/document parsing, API integrations, and file handling. Implement memory systems for persistent, contextual agent behavior. Leverage DSA and algorithmic skills to structure efficient reasoning and execution logic. Deploy containerized applications using Docker, Git, and modern Python packaging tools. 🛠️ Must-Have Skills Python 3.x (Async, OOP, Type Hinting, Modular Design) CrewAI (Agent, Task, Crew, Memory, Orchestration) – Must Have LangChain (LLMChain, Tools, AgentExecutor, Memory) Prompt Engineering (Few-Shot, ReAct, Dynamic Templates) LLMs & APIs (OpenAI, HuggingFace, Anthropic) Vector Stores (FAISS, Chroma, Pinecone, Weaviate) Retrieval-Augmented Generation (RAG) Pipelines Memory Systems: BufferMemory, ConversationBuffer, VectorStoreMemory Asynchronous Programming (asyncio, LangChain hooks) DSA / Algorithms (Graphs, Queues, Recursion, Time/Space Optimization) 💡 Bonus Skills Experience with Machine Learning libraries (Scikit-learn, XGBoost, TensorFlow basics) Familiarity with NLP concepts (Embeddings, Tokenization, Similarity scoring) DevOps familiarity (Docker, GitHub Actions, Pipenv/Poetry) 🧭 Why Join Us? Work on cutting-edge LLM agent architecture with real-world impact. Be part of a fast-paced, experiment-driven AI team. Collaborate with passionate developers and AI researchers. Opportunity to build from scratch and influence core product design. Show more Show less