282 Llms Jobs

Position Title: Full Stack Developer Openings: 34 Positions Location: Gurugram (On-site) Company: BlackNGreen Mobile Solutions Pvt. Ltd. (BNG) Role Overview: We are hiring Full Stack Developers to join our AI-driven product team . This role involves building scalable backend services, designing robust APIs, and integrating large language models (LLMs) into modern digital products. Note: We are only considering candidates currently working in product-based companies . Responsibilities: Develop clean, maintainable, and efficient code (Python/Java). Design and implement APIs and integrate backend services. Collaborate with AI teams on LLM model integrations (e.g., OpenAI, Claude, Lama). Contribute to architectural decisions for scalable and resilient systems. Follow Git-based version control and branching strategies. Execute unit tests and participate in peer code reviews. Collaborate closely with product managers, designers, and frontend teams. Qualifications: Bachelors degree in Computer Science, Engineering, or related field. 3+ years of hands-on experience in full-stack or backend development. Strong knowledge of Python, Java , or similar languages. Proficient in cloud platforms (AWS, Azure, or GCP). Understanding of AI/ML concepts, especially LLMs. Familiarity with Git and CI/CD tools (GitLab, Jenkins). Strong communication, analytical, and team collaboration skills. Interview Drive Details: We are conducting a Face-to-Face Virtual Interview Drive on: Date: 2nd August Venue: Plot No 242-243, AIHP Palms, Ground Floor, Phase IV, Udyog Vihar, Sector 18, Gurugram, Haryana 122015 Application Note: Only candidates with a background in product-based companies will be considered. Apply Now to be part of a team transforming global digital and telecom innovation!

Are you passionate about driving strategic business decisions , optimising operations , and leveraging automation to scale efficiency? Do you thrive in high-growth, data-driven environments where innovation and process excellence are key? If so, Tracxn is looking for a dynamic leader to join our team! Location : Bangalore, India Job Type : Full-time Work From Office About Tracxn Tracxn is a leading market intelligence platform, tracking the worlds most innovative startups and private companies. Our insights help top VCs, PE firms, and Fortune 500 companies make data-backed decisions. As we continue to expand, we are looking for a highly motivated AVP Business Strategy & Operations to drive operational excellence within our Data Team. Your Role & Impact As AVP Business Strategy and Operations (DATA) at Tracxn, you will play a critical role in driving data-led business strategies, optimizing large-scale data operations, and accelerating automation to enhance operational efficiency. This role requires a deep understanding of data management, workflow automation, and process excellence, coupled with strong business acumen to drive scalable and data-driven growth. You will collaborate with cross-functional teams to streamline data operations, introduce automation-led efficiencies, and optimize data processing models to support Tracxns business objectives. Business Strategy & Process Optimization Design and implement scalable business strategies to enhance operational efficiency and optimize large-scale data operations. Identify key process bottlenecks and develop strategies to reduce manual effort, ensuring faster and more accurate data processing. Streamline end-to-end data workflows, ensuring data quality, efficiency, and consistency across all operations. Work closely with leadership to align operational processes with business objectives, driving improved outcomes. Continuously monitor and optimize data processing workflows to support rapid scalability and business growth. Data Operations & Automation Strategy Lead large-scale data operations by designing automation frameworks to reduce human intervention and improve data processing efficiency. Build and optimize workflows that combine LLMs, APIs, scraping, and human supervision to extract, clean, enrich, and validate private company data. Collaborate with Tech, Product, and Data Science teams to introduce AI/ML-driven data collection, enrichment, and processing solutions. Implement workflow automation to streamline repetitive tasks and minimize manual dependencies. Enhance data processing accuracy and speed by integrating robust automation solutions into data operations. Ensure the development of scalable data operations models that can support business growth while minimizing operational costs. Data-Driven Decision Making & Insights Develop and implement real-time operational performance dashboards to monitor key data metrics, productivity, and output efficiency. Provide leadership with actionable insights for decision-making. Monitor data processing trends, workflow performance, and operational efficiency to identify areas of improvement. Collaborate with business, product, and technology teams to turn data insights into operational improvements that drive scalability. Ensure that measurable KPIs back all data operations and workflows to track effectiveness and continuous improvement. Automation & Technology Integration Partner with Tech and Product teams to drive AI-led automation solutions for data collection, processing, and enrichment. Optimize data pipelines by integrating data ingestion, processing, and delivery automation using scalable technologies. Identify and implement advanced workflow automation tools to reduce operational friction and boost productivity. Ensure seamless integration of data collection, enrichment, and delivery pipelines to support Tracxns data intelligence platform. Continuously evaluate and implement new-age technologies to optimize data operations and minimize turnaround times. Leadership & Cross-Functional Collaboration Lead and mentor a high-performance team focused on business strategy, data operations, and automation excellence. Drive close collaboration with Engineering, Product, and Sales teams to ensure seamless data flow and operational efficiency. Foster a culture of continuous improvement, operational excellence, and automation-first approach within the data operations team. Serve as a strategic advisor to the leadership team on optimizing data operations and driving business scalability. Promote cross-functional alignment to drive data-led business growth, process efficiency, and cost reduction. What Success Looks Like in This Role Achieving operational scalability by significantly reducing manual interventions through automation. Enhancing data processing accuracy, speed, and output quality to support business growth. Driving measurable improvements in data operations efficiency, process standardisation, and turnaround times. Collaborating with Tech, Product, and Business teams to deliver data-driven business insights that drive strategic growth. Establishing Tracxns data operations as a benchmark for efficiency, scalability, and process automation. What Were Looking For Up to 10 years of experience in business strategy, operations, or process automation. Strong understanding of how LLMs, NLP, scraping, and ML models can be applied to automate data workflows. Ability to drive scalable process improvements in a data-driven environment. Excellent problem-solving, analytical, and stakeholder management skills. Familiarity with data tools, automation platforms, and analytics dashboards (not mandatory but a plus). Why Join Tracxn? Lead strategic business initiatives in a high-impact, data-first organization. Drive automation and operational transformation at scale. Be part of a fast-growing, tech-driven company. Competitive compensation & fast career growth opportunities.

Yahoo Finance is the world's leading finance destination, providing investors with news, information, and tools to make confident financial decisions. Trusted by over 150 million visitors globally each month, representing over $20 trillion dollars in investable assets, Yahoo Finance delivers high-quality real-time market data across desktop, mobile, and streaming platforms. With breaking news from thousands of sources, original editorial perspectives, objective analyst ratings and research, analytical charts and technical tools, personalized mobile alerts, and more, Yahoo Finance equips investors with knowledge and insights to achieve financial freedom and greater prosperity. Yahoo is a top provider of media and technology brands, reaching over a billion people worldwide. Yahoos Media Engineering organization utilizes the latest technologies to build brands that members love, including Yahoo, AOL, Engadget, TechCrunch, Autoblog, In The Know, and more. With a focus on building at a massive scale to reach hundreds of millions of users, our teams strive to create world-class user experiences, delivering trusted content and data across all brands. We are committed to building and revitalizing this essential, trusted resource for investors and savers under a new leadership team. As an experienced engineer, you will collaborate closely with Engineering, Product, and Design teams to enhance our product offerings. You will develop applications and tools essential for supporting our business operations and ensuring the quality of our data and services. This role involves architecting, designing, scoping, building, maintaining, and iterating on systems needed to deliver world-class finance products and features. Responsibilities: - Be part of an agile scrum team, demonstrating progress through proof of concept, sandboxing, and prototyping - Architect and design scalable, maintainable, secure, and reusable strategic solutions - Deploy, monitor, and manage ML models in production environments using MLOps best practices - Work closely with data scientists to transition models from development to production efficiently - Optimize ML models and infrastructure for efficiency, scalability, and cost-effectiveness - Design and implement frameworks and tools to empower developers and non-technical colleagues - Lead key team initiatives by managing and improving the software development life cycle - Seek opportunities to improve quality and efficiency in day-to-day workflow processes - Present and communicate progress across multiple groups, sharing knowledge and best practices - Perform code reviews for peers and recommend approaches to solving complex problems - Own, deploy, monitor, and operate large-scale production systems - Lead and mentor junior engineers in building production-grade systems and applications - Act as a technical liaison to translate business needs into technical solutions Requirements (must have): - MS or PhD in Computer Science or related major - 5 to 10 years industry experience as a Back End Engineer, ML Engineer, or Research Engineer - Deep functional knowledge and hands-on experience with AWS or GCP cloud services, RESTful Web Services, Containerization (Docker, ECS, Kubernetes), and modern AI tools - Experience with AI/ML Ops tools and platforms, basic Data Science concepts, and version control tools - Capable of implementing resilient web architecture and building web products end to end - Familiarity with financial datasets and experience with time series analysis - Ability to work in a hybrid model, commuting 3 days a week to an office in Bangalore Important notes: - All applicants must apply for Yahoo openings directly with Yahoo - Offer letters and documents will be issued through the system for e-signatures - Yahoo offers flexibility around employee location and hybrid working For further inquiries about the role, please discuss with the recruiter.,

Ccube is a fast-growing technology company dedicated to transforming how businesses harness the power of Apps, Data, and AI. We help organizations thrive by delivering integrated solutions across various sectors. We are currently seeking a dynamic individual to join our team as a "GenAI Pre-Sales Consultant" based in Indore (Hybrid), on a Full-Time basis in the AI/Tech domain. As a GenAI Pre-Sales Consultant, you will play a crucial role in leading sales for Generative AI solutions, which includes LLMs, RAG, vector DBs, and AI agents. Your main responsibilities will include prospecting, pitching, and closing AI deals, leading client discovery sessions and product demos, translating GenAI technology into ROI for clients, collaborating with technical teams, and managing your sales pipeline efficiently using tools like HubSpot/Salesforce. The ideal candidate should possess at least 6+ years of experience in B2B tech sales or consulting, have a strong understanding of LLMs, RAG, vector DBs (e.g., Pinecone), be an excellent communicator with a blend of technical and business acumen, be well-versed in CRM tools, self-motivated, and prioritize client satisfaction. Previous experience in selling AI/ML platforms or working in industries like fintech, healthcare, or retail would be a bonus. At Ccube, we offer an environment where you can build the future by being part of a mission-driven company that is shaping the next generation of AI and digital solutions. You will collaborate with talented individuals who value transparency, experimentation, and integrity, while also benefiting from career mobility, competitive compensation including base salary, commission, and stock options, opportunities for professional growth through annual stipends for certifications, courses, and industry events. If you are ready to help companies unlock the power of technology and contribute to building something extraordinary in the process, we encourage you to reach out to us at "rahul@ccube.com" for more details. Join us at Ccube and be part of a collaborative culture that nurtures talent, innovation, and success. Powered by JazzHR,

You have accumulated over 10 years of experience as a Product Manager/Product Owner, with a minimum of 2 years specifically in AI/ML product ownership. As an experienced Product Owner, you will be responsible for leading the vision, strategy, and implementation of our AI-based Test Intelligence Platform. This platform is designed to transform software testing through the utilization of AI/ML, data analytics, and automation to offer actionable insights, test generation, predictive testing, risk-based prioritization, and intelligent regression strategies. Your key responsibilities will include defining and managing the product roadmap, backlog, and feature prioritization based on customer requirements, business objectives, and AI capabilities. Collaboration with cross-functional teams, such as AI/ML engineers, QA, DevOps, and UX, will be essential to translate requirements into scalable product features. You will drive the discovery, definition, and delivery of features like test generation, test impact analysis, flaky test detection, root cause analytics, and automated risk scoring. Additionally, conducting competitive benchmarking of test intelligence tools and partnering with customers and internal stakeholders to collect feedback and enhance user journeys will be part of your role. Defining and monitoring necessary KPIs is also crucial. The ideal candidate will possess proven experience as a Product Owner or Product Manager in software development, test automation, DevOps, or quality engineering domains. A good grasp of AI/ML concepts, model lifecycle, and their integration in software products is essential. Familiarity with test frameworks, CI/CD pipelines, and telemetry tools, along with experience in test analytics, coverage tracking, impact-based testing, and test optimization, are required. Strong analytical, communication, and stakeholder management skills are necessary, as well as exposure to agile methodologies and tools. Experience with or the development of developer/tester tools, along with exposure to GenAI, LLMs, or NLP-driven test automation, will be considered advantageous.,

As a Principal Engineer at our company, you will have the opportunity to lead the architecture and execution of our innovative GenAI-powered, self-serve marketing platforms. Working closely with the CEO, you will play a crucial role in shaping, building, and scaling products that revolutionize how marketers interact with data and AI. This position offers a unique chance to engage in real-world product development with traction, velocity, and high impact. Your responsibilities will include co-owning the product architecture and direction with the CEO, building GenAI-native full-stack platforms from MVP to scale utilizing LLMs, agents, and predictive AI. You will be in charge of the full stack, encompassing React for the frontend, Node.js/Python for the backend, GCP for infrastructure, BigQuery for data, and vector databases for AI. Leading a lean, high-caliber team, you will adopt a hands-on, unblock-and-coach mindset to drive rapid iteration with rigor while maintaining a balance between short-term delivery and long-term resilience. To excel in this role, you should possess 8-12 years of experience in building and scaling full-stack, data-heavy, or AI-driven products. Proficiency in React, Node.js, and Google Cloud is essential, with hands-on experience in GenAI tools being a bonus. You should demonstrate a track record of shipping products from ambiguity to impact, along with the ability to architect and construct scalable microservices and APIs that are robust, maintainable, and performant. Collaboration with cross-functional teams, promotion of engineering best practices, and mentorship of junior and mid-level engineers will also be key aspects of your role. Additionally, you will be responsible for proactively identifying tech debt, proposing scalable solutions, ensuring strong engineering processes through Agile practices and DevOps automation, and staying updated with emerging technology trends. Your contribution to hiring and talent development within the engineering team will further enhance our capabilities and drive innovation in our products.,

As the Head of AI at our company, you will play a crucial role in leading the research, development, and deployment of cutting-edge AI and ML models that drive our SaaS platform. This position requires a unique blend of profound technical knowledge, product insight, strategic acumen, and the ability to make a significant impact on a large scale. Your primary objective will be to translate ambitious AI concepts into practical solutions that bring tangible business value. Your responsibilities will include defining and overseeing the AI roadmap and strategy to align with our product and business objectives. You will design and construct state-of-the-art AI/ML systems and pipelines that are not only robust and scalable but also easy to maintain. Leading and guiding a team comprising machine learning engineers, data scientists, and researchers will be a core aspect of your role. Collaboration with engineering, product, and design teams to seamlessly integrate AI solutions into user-facing features will be essential. You will be at the forefront of exploring and implementing the latest advancements in NLP, LLMs, generative AI, and other pertinent domains to enhance our core product. Additionally, you will be responsible for supervising data collection, annotation, and governance processes to drive AI innovation in a responsible and ethical manner. Your vision and leadership will be instrumental in shaping the foundation of a product that sets new standards in its category. Working alongside industry pioneers in an environment that values initiative and innovation, you will have end-to-end ownership, enabling quick decision-making and the opportunity to witness your work in production promptly. Joining a dynamic, collaborative, and fast-paced team dedicated to pushing the boundaries of AI, you will enjoy perks and benefits such as gym membership, health insurance, company-sponsored lunches, and more.,

You are an experienced Python Backend Engineer with a strong background in AWS and AI/ML. Your primary responsibility will be to design, develop, and maintain Python-based backend systems and AI-powered services. You will be tasked with building and managing RESTful APIs using Django or FastAPI for AI/ML model integration. Additionally, you will develop and deploy machine learning and GenAI models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Your expertise in implementing GenAI pipelines using Langchain will be crucial, and experience with LangGraph is considered a strong advantage. You will leverage various AWS services such as EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment purposes. Collaborating with data scientists, DevOps, and architects to integrate models and workflows into production will be a key aspect of your role. Furthermore, you will be responsible for building and managing CI/CD pipelines for backend and model deployments. Ensuring the performance, scalability, and security of applications in cloud environments will be paramount. Monitoring production systems, troubleshooting issues, and optimizing model and API performance will also fall under your purview. To excel in this role, you must possess at least 5 years of hands-on experience in Python backend development. Your strong experience in building RESTful APIs using Django or FastAPI is essential. Proficiency in AWS cloud services, a solid understanding of ML/AI concepts, and experience with ML libraries are prerequisites. Hands-on experience with Langchain for building GenAI applications and familiarity with DevOps tools and microservices architecture will be beneficial. Additionally, having Agile development experience and exposure to tools like Docker, Kubernetes, Git, Jenkins, Terraform, and CI/CD workflows will be advantageous. Experience with LangGraph, LLMs, embeddings, and vector databases, as well as knowledge of MLOps tools and practices, are considered nice-to-have qualifications. In summary, as a Python Backend Engineer with expertise in AWS and AI/ML, you will play a vital role in designing, developing, and maintaining intelligent backend systems and GenAI-driven applications. Your contributions will be instrumental in scaling backend systems and implementing AI/ML applications effectively.,

As a skilled Python Backend Engineer at Cognio Labs, you will be responsible for leveraging your expertise in FastAPI and your strong foundation in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) technologies. Your role will involve a blend of backend development and data science to facilitate data processing for model fine-tuning and training. You should have a minimum of 2 years of experience in Python backend development and possess the ability to develop and maintain APIs using the FastAPI framework. Proficiency in asynchronous programming, background task implementation, and database management using both SQL and NoSQL databases, especially MongoDB, are essential. Additionally, familiarity with Git version control systems and RESTful API design and implementation is required. Experience with containerization technologies like Docker, understanding of component-based architecture principles, and the capability to write clean, maintainable, and testable code are valuable additional technical skills. Knowledge of testing frameworks, quality assurance practices, and AI technologies such as LangChain, ChatGPT endpoints, and other LLM frameworks will be advantageous. In the realm of AI and Data Science, your experience with LLMs and RAG implementation will be highly valued. You should be adept at data processing for fine-tuning language models, manipulating and analyzing data using Python libraries such as Pandas and NumPy, and implementing machine learning workflows efficiently. Your key responsibilities will include designing, developing, and maintaining robust, scalable APIs using the FastAPI framework, preparing data for model fine-tuning and training, implementing background tasks and asynchronous processing for system optimization, integrating LLM and RAG-based solutions into the product ecosystem, and following industry best practices to write efficient, maintainable code. Collaboration with team members, database design and implementation, troubleshooting and debugging codebase issues, as well as staying updated on emerging technologies in Python development, LLMs, and data science will be integral parts of your role at Cognio Labs.,

As the AVP Business Intelligence Unit Manager in the Business Intelligence Analytics department of a private bank in Mumbai, your main responsibility is to lead and manage business intelligence initiatives focused on automation, data democratization, and standardization. Your role will involve generating actionable insights, automating dashboards, and supporting risk management through analytics. You will be expected to have a strong understanding of NLP, LLMs, Deep Learning, Machine Learning, Text generation, etc. Additionally, you will lead the automation of regular reports and MIS using SAS Viya and Power BI. Supporting business teams in converting manual reporting into dynamic dashboards will also be a key part of your role. Collaboration with risk compliance, product teams, IT, data engineers, and governance is essential to ensure consistent data. Working on complex data sets to identify key trends, exposures, and risk indicators using visual analytics for business highlighting is another crucial aspect of your job. You will also be responsible for the monthly preparation and timely publishing of the Risk Review Deck for senior management review. Monitoring and enforcing best practices in data sourcing and transformation will be part of your job requirements. The ideal candidate for this role should have a graduate or postgraduate degree in Engineering, Statistics, Mathematics, or a related field. You should have 7-8 years of experience in Business Intelligence/Data Analytics in the banking sector. Hands-on experience in data visualization tools like Power BI, Tableau, and language queries like SAS, SQL, Python is necessary. Understanding risk metrics and exposure analysis in banking is preferred. Strong communication and stakeholder management skills are also required for this role.,

As an AI Senior Developer in the Sales Cloud team at SAP, your primary responsibility will be to develop product features within the Sales portfolio, integrating AI-driven solutions, and helping the team deliver services on the cloud-native stack on a continuous basis. You will work with a highly motivated and talented set of colleagues, translating business requirements into scalable and performant technical solutions. Your role will involve designing, coding, testing, and assuring the quality of complex AI-powered product features within the Customer Experience & Sales portfolio. To excel in this role, you should bring at least 4-9 years of software engineering experience, with significant exposure to building products on the cloud-native stack. Strong knowledge of Computer Science fundamentals is essential, along with proficiency in Python/Java; Spring Boot experience is preferred. Familiarity with JavaScript, experience with Angular or ABAP, and hands-on experience with Git and CI/CD pipelines are desired qualifications. You should have a proven track record of writing production-grade code for enterprise-scale systems and experience with SQL databases; knowledge of NoSQL and event streaming (e.g., Kafka) is a bonus. Additionally, experience working with LLMs and generative AI frameworks (e.g., OpenAI, Hugging Face, etc.) is valuable. Demonstrated ability to build or integrate AI-driven features into enterprise applications is key, and familiarity with SAP software (e.g., SAP S/4HANA, SAP Business Technology Platform) is an asset. Knowledge of Agentic AI and frameworks is also beneficial. Strong collaboration and communication skills are crucial for success in this role, along with experience using tools like JIRA for tracking tasks and bugs. Joining the SAP CX team means positively impacting how businesses are run globally. SAP CX is a leader in enterprise cloud applications for cloud CRM and DXP solutions, empowering organizations to understand their customers better and engage with relevance and personalization. At SAP, we believe in a culture of inclusion, focus on health and well-being, and flexible working models to ensure that everyone, regardless of background, feels included and can perform at their best. We are committed to creating a better and more equitable world by unleashing all talent and investing in our employees" development. If you have what it takes to be part of a dynamic team that drives the company's product portfolio forward, we want to hear from you. SAP is proud to be an equal opportunity workplace and an affirmative action employer. We provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and require accommodation or special assistance, please contact the Recruiting Operations Team at Careers@sap.com.,

You are a highly experienced Principal Solution Architect responsible for leading the design, development, and implementation of sophisticated cloud-based data solutions for key clients. With deep technical expertise in multiple cloud platforms such as AWS, Azure, and GCP, as well as modern data technologies, your role is pivotal in shaping data strategies, driving innovation through GenAI and LLMs, and ensuring successful delivery of complex data projects across various industries. Your key responsibilities include leading the architecture and design of robust, scalable, and secure enterprise-grade data solutions like data lakes, data warehouses, data mesh, and real-time data pipelines on AWS, Azure, and GCP. Additionally, you will collaborate closely with clients to understand their business challenges, translate requirements into technical solutions, and present compelling data strategies. Supporting pre-sales activities, including proposal development and solution demonstrations, is also a crucial aspect of your role. Furthermore, you are expected to drive data and analytics modernization initiatives by leveraging cloud-native services, Big Data technologies, GenAI, and LLMs to deliver transformative business value. Applying data architecture best practices across various industries such as BFSI, Retail, Supply Chain, and Manufacturing is also a key part of your responsibilities. To qualify for this position, you should have at least 10 years of experience in IT, focusing on data architecture, solution architecture, and data engineering, with proven experience in a principal-level or lead architect role. Deep, hands-on experience with major cloud platforms like Azure (Microsoft Fabric, Data Lake, Power BI, Data Factory, Azure Purview) and GCP (Big Query, Vertex.AI, Gemini) is essential. Additionally, you should have expertise in integrating AI/ML capabilities, including GenAI and LLMs, into data solutions, strong leadership and communication skills, exceptional problem-solving abilities, and a Bachelor's or Master's degree in computer science, engineering, information technology, or a related field. Preferred qualifications include relevant certifications in AWS, Azure, GCP, Snowflake, or Databricks, as well as experience with Agentic AI and hyper-intelligent automation.,

Are you passionate about building world-class AI-driven applications We are looking for a skilled Senior Full Stack AI Developer with 5-10 years of experience (including 3+ years in AI) to join our innovative team in Noida. As a part of our team, you will be responsible for designing and deploying AI-powered full stack solutions using Python, Node.js, Django, LangChain, LLMs, and ReactJS. Your role will involve integrating advanced LLM and LangChain models into robust applications, collaborating with cross-functional teams for seamless project delivery, mentoring junior developers, and driving best coding practices to optimize application performance and scalability. The ideal candidate must have 5-10 years of development experience, with a minimum of 3 years dedicated to AI. Proficiency in Python, Node.js, Django, LangChain, LLMs, and ReactJS is essential for this role. Additionally, excellent problem-solving and communication skills are required. The candidate should be able to join within 15 days. Prior experience in a similar band (C1/C2) is preferred. If you are ready to take your AI career to the next level and meet the above requirements, we encourage you to apply for this exciting opportunity to contribute to building cutting-edge AI solutions.,

The role of AI Engineer at our company involves developing essential software features to ensure timely delivery while meeting the company's performance and quality standards. As an AI Engineer, you will be part of our team working on various data science initiatives, ranging from traditional analytics to cutting-edge AI applications. This position provides a great opportunity to gain experience in machine learning and artificial intelligence across different domains. Your core responsibilities will include developing and maintaining data processing pipelines using Python, creating and deploying GenAI applications through APIs and frameworks like semantic kernel and Langchain, conducting data analysis and generating insightful visualizations, collaborating with different teams to understand business requirements and implement AI solutions, contributing to the development and upkeep of language model evaluations and other AI applications, writing clean, documented, and tested code following best practices, and monitoring application performance while making necessary improvements. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, along with at least 2 years of hands-on experience in applied data science and machine learning. Proficiency in Python programming, familiarity with LLMs and their applications, experience with cloud platforms such as AWS, Azure, or GCP, version control using Git, strong analytical and problem-solving skills, and knowledge of PyTorch and Deep Learning fundamentals are essential requirements. In terms of technical skills, you should have knowledge of LLMs and Generative AI platforms, be familiar with popular LLM APIs, have experience with frameworks like Semantic Kernel, LangChain, OpenAI, and Google Vertex AI, be proficient in programming languages including Python, SQL, and R, have expertise in libraries such as HuggingFace, Transformers, Matplotlib, and Seaborn, be skilled in ML/Statistics with tools like scikit-learn, statsmodels, and PyTorch, understand data processing with Pandas, NumPy, and PySpark, and have experience working with cloud platforms like AWS, GCP, or Azure. This full-time permanent position is located in Bengaluru and is with the Merkle brand.,

The Applications Development Intermediate Programmer Analyst position is at an intermediate level and involves contributing to the establishment and implementation of new or revised application systems and programs in collaboration with the Technology team. Your main responsibility will be to participate in applications systems analysis and programming activities. You will be required to utilize your knowledge of applications development procedures, concepts, and other technical areas to identify necessary system enhancements and define them. This may involve using script tools, analyzing code, and consulting with users, clients, and technology groups to recommend programming solutions, as well as supporting customer exposure systems. Additionally, you will apply your programming language skills to design specifications and analyze applications for vulnerabilities, security issues, testing, and debugging. As an Intermediate Programmer Analyst, you will also serve as an advisor or coach to new or lower-level analysts, identify problems, analyze information, and recommend and implement solutions. You should be able to operate with a limited level of direct supervision, exercise independence of judgment, and act as a subject matter expert to senior stakeholders and team members. In this role, you will need to assess risks when making business decisions, considering the firm's reputation, and ensuring compliance with laws and regulations. You must have 3-6 years of relevant experience in the Financial Service industry, intermediate-level experience in Applications Development, clear and concise communication skills, problem-solving abilities, and the capacity to work under pressure and manage deadlines effectively. A Bachelor's degree or equivalent experience in Computer Science, Data Science, or a related field is required. Job Requirements: - Bachelor's degree in Computer Science, Data Science, or related field; Master's degree preferred - 3+ years of experience as a Data Scientist, with at least 2 years in Generative AI - Proficiency in Python, TensorFlow, PyTorch, Transformers, and LangChain - Experience in API development on cloud platforms like AWS, Azure, GCP - Deep understanding of Machine Learning concepts - Strong analytical and problem-solving skills - Excellent communication and presentation skills Preferred Qualifications: - Experience with MLOps practices and tools - Familiarity with chatbot development frameworks - Knowledge of data visualization and reporting tools - Contributions to open-source projects or publications This role requires a motivated individual with a passion for Generative AI and a proven ability to deliver impactful results.,

We are seeking a talented and enthusiastic AI Engineer to be a part of our team. As an AI Engineer, you will be responsible for the design, development, and deployment of AI models and algorithms to address intricate challenges and drive business value. The ideal candidate will possess a solid foundation in machine learning, deep learning, and data science, coupled with exceptional programming abilities. Your main responsibilities will include designing, developing, and implementing AI models and algorithms to solve real-world issues. You will collaborate with diverse teams to comprehend business requirements and transform them into technical solutions. Data analysis and preprocessing will be crucial to ensure high-quality input for AI models. Furthermore, you will be involved in training, testing, and validating AI models to guarantee accuracy and performance, along with deploying these models into production environments and monitoring their performance. Continuous enhancement of AI models by integrating new data and feedback will also be part of your role. It is essential to stay updated with the latest advancements in AI and machine learning technologies. Documenting AI models, processes, and outcomes for knowledge sharing and future reference will be necessary. Additionally, participation in code reviews and providing constructive feedback to peers will be expected. The ideal candidate should have prior experience as an AI Engineer, Machine Learning Engineer, or a similar role. Proficiency in machine learning algorithms, deep learning frameworks, statistical methods, and programming languages like Python, R, or Java is required. Familiarity with LLMs such as GPT-4, Llama-2, NLP, RAG, data preprocessing, feature engineering, and data visualization techniques is essential. Experience with machine learning libraries and frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, vector databases such as Pinecone and ChromaDB, cloud platforms like AWS, Google Cloud, Azure, and version control systems like Git is preferred. Strong problem-solving skills, attention to detail, excellent communication, and collaboration skills are also vital. The ideal candidate should have 2-6 years of experience and a Bachelor's or Master's degree in computer science, artificial intelligence, machine learning, or a related field.,

Your role will be to lead as the VP of Agent Engineering within our AI Sales Engineering team. You will be responsible for driving client-facing engagements, designing intelligent agent solutions, and ensuring sales success through technical alignment. Your expertise in AI/ML, business acumen, and client guidance will be crucial in helping clients adopt intelligent agents that surpass traditional rule-based bots. As the VP of Agent Engineering, you will: Lead Technical Sales Strategy: Take ownership of crafting and communicating the technical sales narrative for intelligent agents to enterprise clients. Solution Architecture: Develop and present intelligent agent architectures that showcase true reasoning, autonomy, and value. Client Engagement: Work closely with prospects and clients to identify their requirements, conduct discovery sessions, and recommend suitable agent-based solutions. Evangelize Agent Intelligence: Set apart Mobius's agent capabilities by highlighting genuine intelligence, contextual reasoning, and adaptive behavior. Cross-functional Leadership: Collaborate with product, engineering, and business teams to shape offerings that address real-world enterprise needs effectively. Proof of Concept Design: Develop compelling demos and prototypes to demonstrate the potential of AI agents in practical scenarios. Sales Enablement: Provide technical training and support to sales teams by offering content, playbooks, and success stories related to AI agents. Qualifications: - Hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Possess over 10 years of experience in sales engineering, solution architecture, or technical consulting, preferably within AI or enterprise SaaS. - Demonstrate a deep understanding of LLMs, cognitive agents, machine reasoning, and real-time decision systems. - Showcase a track record of effectively selling and explaining cutting-edge technology with clarity and confidence. - Have familiarity with frameworks such as LangChain, ReAct, AutoGPT, and open-source agent stacks. - Exhibit strong skills in client communication, executive presentations, and translating technical concepts into tangible business outcomes. If you resonate with our commitment to excellence, diversity, and inclusivity, and thrive in a vibrant and dynamic work environment, we encourage you to apply for this role as the VP of Agent Engineering.,

You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. As a Product Manager in Chief Technology Office team, you play a pivotal role in driving innovation and leading the end-to-end product life cycle. As a Help and Content Management Product Manager, you are responsible for developing and executing strategies to optimize help and content management systems. You lead efforts to enhance user experience, streamline content delivery, and ensure alignment with business objectives. This role involves collaborating with cross-functional teams, managing product life cycles, and leveraging AI and data analytics to improve content accessibility and effectiveness. The Product Manager also monitors industry trends and regulatory requirements to ensure compliance and drive innovation in content management solutions. Job responsibilities Develop and maintain a product strategy, vision, roadmap, and delivery timeline that delivers value to customers. Conduct market research and discovery efforts to uncover customer solutions and integrate them into the product roadmap. Own and manage a product backlog to support the strategic roadmap and value proposition. Monitor product adoption, usage, and value realization to optimize performance and enhance features. Stay updated with the latest research in LLM, ML, and data science to leverage emerging techniques for product enhancement. Collaborate with internal stakeholders to prioritize use cases and translate them into actionable product requirements. Mentor the product team on best practices and support them in delivering objectives effectively. Required qualifications, capabilities, and skills Formal training or certification on Product Management concepts and 5+ years applied experience Understanding of AI-powered systems, including LLMs, content strategy, and enterprise knowledge platforms. Experience with CI/CD tool chains and advanced knowledge of the product development life cycle, design, and data analytics. Lead product life cycle activities, including discovery, ideation, strategic development, requirements definition, and value management. Demonstrated strategic thinking and problem-solving skills, with leadership experience in agile/scrum teams. Excellent communication skills, capable of presenting ideas clearly to senior stakeholders and articulating business needs to technical leadership. Ability to thrive in a fast-paced, collaborative, and cross-functional environment, with flexibility to navigate ambiguity and influence stakeholders effectively. Preferred qualifications, capabilities, and skills Familiar in building AI-led solutions for productivity tooling or automation, with an understanding of regulatory constraints on AI use. Familiarity working within highly matrixed, complex organizations. Knowledge and familiarity with Knowledge Management systems, methodologies, and processes. Leadership skills, with preferred experience in agile/scrum teams. Partner with data scientists and engineers to deliver high-quality AI solutions.,

You will be part of a team that is building an Agentic AI Platform aimed at enabling enterprises to solve real business problems using Agentic AI workflows. The platform covers a wide range of areas from utility operations to legal document review. The ultimate goal is to empower AI agents to think, act, and deliver quickly, securely, and locally. As an Agentic AI Engineer, you will have the opportunity to work with cutting-edge frameworks such as Lang Chain, CrewAI, Lang Graph, Google ADK, and more. Your role will involve translating real enterprise challenges into intelligent multi-agent workflows. Your responsibilities will include building and deploying AI agents using open-source agentic frameworks, integrating models from sources like OpenAI, Mistral, Gemini, Llama, Claude, among others, and utilizing tools such as Retrieval-Augmented Generation (RAG), knowledge graphs, and vector stores. Collaboration with product managers and domain experts to address real problems in various enterprise domains like utilities, legal, marketing, and supply chain will be a key aspect of your role. Additionally, you will play a significant role in continuously testing and refining agent behavior and contributing to the enhancement of the proprietary DataInsightAI platform. To excel in this role, you should possess at least 1+ years of hands-on experience in implementing enterprise-level Gen AI projects that have been successfully deployed. Strong Python skills, familiarity with LLMs, agentic AI workflows, RAG, vector databases, and the ability to simplify complex problems are essential. A curiosity-driven mindset, a fast learner, and hands-on coding abilities are also crucial for success in this role. While not mandatory, experience in multi-agent architectures, graph databases like Neo4j, deployment on cloud platforms such as Azure/AWS/GCP, and familiarity with LangGraph or Google ADK are considered advantageous. Joining our team will offer you the opportunity to work on cutting-edge agentic AI projects daily, be part of a small team with significant ownership, ship solutions rapidly, and tackle real enterprise challenges. Moreover, you will be supported by InTimeTec, a company with a strong AI/ML engineering culture.,

As a Senior AI Engineer with over 5 years of experience, you will be responsible for leading the design, development, and deployment of advanced AI systems. Your expertise in LLMs, ML pipelines, model optimization, and real-time deployment will be crucial in successfully scaling AI systems in production. Additionally, you will play a key role in fine-tuning large language models, optimizing training pipelines, and owning the end-to-end lifecycle of AI projects from data to deployment. In this role, you will evaluate third-party models and tools to recommend best-fit solutions, collaborate with cross-functional teams to align AI efforts with product goals, and lead junior developers while contributing to architectural decisions. Your strong understanding of NLP, deep learning, and large-scale model architectures, coupled with your proficiency in Python, PyTorch/TensorFlow, and data engineering tools, will be essential in designing and optimizing ML pipelines for performance and scalability. Preferred skills for this role include experience managing AI teams or mentoring juniors, working knowledge of Retrieval-Augmented Generation (RAG) and embeddings, as well as familiarity with CI/CD, Docker, and cloud deployment pipelines. If you are looking for an opportunity to work in Mumbai, Maharashtra, and can join immediately, we invite you to apply for this challenging and rewarding position as a Senior AI Engineer.,

At Capgemini Engineering, the world leader in engineering services, a global team of engineers, scientists, and architects collaborate to empower the world's most innovative companies to reach their full potential. From cutting-edge technologies like autonomous cars to life-saving robots, our digital and software technology experts are known for their out-of-the-box thinking, providing unique R&D and engineering services across various industries. Embark on a career with us, where every day presents new opportunities to make a meaningful difference. As a part of our team, you will be responsible for developing and implementing techniques and analytics applications that convert raw data into valuable insights using data-oriented programming languages and visualization software. Utilize data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large datasets, both structured and unstructured. Visualize, interpret, and report data findings, and potentially create dynamic data reports. We are currently seeking a highly experienced AI/ML Solution Architect to take the lead in designing and implementing scalable, enterprise-grade AI and machine learning solutions. The ideal candidate should possess a solid background in data science, cloud computing, and AI/ML frameworks, demonstrating the ability to translate business requirements into technical solutions effectively. **Primary Responsibilities:** - Design and architect end-to-end AI/ML solutions customized to meet specific business needs. - Lead the development and deployment of machine learning, deep learning, and generative AI models. - Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders. - Ensure seamless integration of AI models into existing systems and workflows. - Conduct architecture reviews, performance tuning, and scalability assessments. - Stay abreast of the latest trends, tools, and technologies in the field of AI/ML. **Primary Skills (Must-Have):** - Strong expertise in AI/ML algorithms, encompassing deep learning, NLP, and computer vision. - Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn. - Experience with cloud platforms, particularly Azure (mandatory); familiarity with AWS/GCP is desirable. - Hands-on experience with LLMs (e.g., Azure OpenAI, Mistral) and GenAI deployment. - API development using FastAPI, Flask; integration with third-party tools (e.g., SharePoint, SNOW). - Solid understanding of data security (at rest and in motion) and data flow diagrams. **Secondary Skills (Good-to-Have):** - UI development using Angular, Streamlit, HTML, CSS, and JavaScript. - Experience with containerization tools like Docker, Azure Container Registry/Instance. - Familiarity with monitoring tools such as Splunk and NewRelic. - Knowledge of Agentic AI, RAG (Retrieval-Augmented Generation), and MFA (Multi-Factor Authentication). - Cost estimation and infrastructure planning for AI deployments (on-prem/cloud). **Qualifications:** - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 12-14 years of experience in AI/ML solution development and architecture. - Excellent communication and stakeholder management skills. Join Capgemini, a global partner in business and technology transformation, dedicated to accelerating organizations" transition to a digital and sustainable world while delivering tangible impact for enterprises and society. With a diverse team of over 340,000 members across 50 countries, Capgemini is a trusted leader with a heritage spanning more than 55 years. Clients rely on Capgemini to unlock technology's value and address their entire business needs, offering end-to-end services and solutions with expertise in AI, generative AI, cloud, and data, supported by industry knowledge and a strong partner ecosystem.,

You are an experienced AI Application Architect responsible for leading the design and integration of AI/ML capabilities into enterprise applications. Your main objective is to architect intelligent, scalable, and reliable AI solutions that are in line with both business goals and technical strategies. You will work closely with data scientists, ML engineers, and application developers to ensure seamless end-to-end solutions. Additionally, you will be required to select and implement appropriate AI frameworks, APIs, LLMs, and infrastructure tools, as well as drive architecture decisions related to GenAI, NLP, CV, predictive analytics, and agentic AI systems. You will also establish MLOps pipelines for training, testing, and deploying models at scale while ensuring compliance with AI ethics, privacy laws, and data governance policies. Furthermore, you will evaluate emerging technologies, tools, and platforms for enterprise use and act as a technical advisor to leadership on AI opportunities and risks. In terms of required skills, you should have a strong background in AI/ML architecture and solution design, along with hands-on experience in ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Proficiency in LLMs and generative AI tools like OpenAI, Azure OpenAI, LangChain, and Hugging Face is necessary. A solid programming background in Python (FastAPI, Flask) and familiarity with Java/Node.js are essential. Experience with cloud platforms (AWS/GCP/Azure) and ML toolkits like SageMaker, Azure ML, and Vertex AI is also crucial. Additionally, a good understanding of microservices, REST APIs, GraphQL, and event-driven architecture is required. Knowledge of vector databases such as Pinecone, FAISS, Chroma, or Weaviate, as well as proficiency with CI/CD, Docker, Kubernetes, MLflow, Airflow, or similar tools, is expected. Preferred qualifications include experience with multi-agent systems, LangChain, Autogen, or Agentic AI frameworks, familiarity with data governance, model drift detection, and performance monitoring, and prior experience in industries like BFSI, Retail, Healthcare, or Manufacturing. Education-wise, a Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field is required. Certifications in AI/ML, cloud (AWS/GCP/Azure), or MLOps are considered a plus.,

About the Role: We are looking for a highly skilled AI/ML Developer to join the core product team of QAPilot.io. The ideal candidate should come from a product-based or AI-first company, with a strong academic background from institutes like IITs, NITs, IIITs, or other Tier-1 engineering colleges. You will work on real-world AI problems related to test automation, software quality, and predictive engineering. Key Responsibilities: Design, build, and deploy machine learning models for intelligent QA automation Work on algorithms for test case optimization, bug prediction, pattern recognition, and data-driven QA insights Apply techniques from supervised/unsupervised learning, NLP, and deep learning Integrate ML models into the product using scalable and production-ready code Continuously improve model performance through experimentation and feedback loops Collaborate with full-stack developers, product managers, and QA experts Explore LLMs, transformers, and generative AI for advanced test data generation and analysis Required Skills & Qualifications: B.Tech / M.Tech / MS in Computer Science, Data Science, or related fields from IIT/NIT/IIIT or other top-tier institutes 3+ years of experience as an AI/ML Developer, preferably in product or AI-centric companies Strong proficiency in Python, ML libraries (scikit-learn, TensorFlow, PyTorch) Experience in NLP, LLMs, or generative AI (preferred) Hands-on with ML lifecycle: data wrangling, model training, evaluation, and deployment Familiarity with MLOps tools like MLFlow, Docker, Airflow, or cloud platforms (AWS/GCP) Prior exposure to software testing, DevOps, or developer tooling is a plus Strong analytical skills, attention to detail, and curiosity to solve open-ended problems Portfolio, GitHub, or project links demonstrating AI/ML expertise are desirable Why Join QAPilot.io: Work on an innovative AI product transforming the software QA ecosystem Join a high-impact, product-oriented engineering culture Solve challenging AI problems with real user value Collaborate with top talent from the tech and AI ecosystem Competitive salary, learning-focused environment, and growth opportunities To Apply: Please send your updated resume and any supporting links (GitHub, projects, publications).

As a Senior SEO Specialist at Interactive Bees located in Delhi NCR, you will be responsible for developing and implementing advanced SEO strategies that encompass on-page, off-page, and technical aspects. With over 5 years of experience in core SEO, you will lead keyword research, competitive analysis, and content audits to ensure optimal performance in an ever-evolving digital landscape. Your role will involve working closely with Large Language Models (LLMs) and Generative AI tools to optimize content workflows with tools like ChatGPT, Claude, Jasper, etc. You will integrate Generative AI into SEO content pipelines while upholding quality, originality, and E-A-T standards. Collaborating with developers and content teams, you will implement SEO best practices on websites and landing pages. Monitoring and reporting on SEO performance using tools such as GA4, GSC, SEMrush/Ahrefs, and LLM-driven dashboards will be a crucial part of your responsibilities. Staying abreast of AI advancements in search, such as SGE, AI snippets, and multimodal SEO, will ensure that you remain ahead of the curve in SEO strategies. Preferred skills for this role include a deep understanding of Google algorithms, indexing, crawling, and structured data. Experience in using and optimizing prompts with LLMs for SEO content generation is highly desirable. Familiarity with AI-powered SEO tools like Surfer SEO, MarketMuse, and Frase will be advantageous. Additionally, knowledge of schema markup, page speed optimization, and technical audits is essential. If you have experience in integrating LLMs with CMS or SEO platforms, an understanding of prompt engineering, or exposure to Python and automation scripts for SEO tasks, it would be considered a bonus. Prior experience in optimizing content for AI search experiences, such as SGE and Bing Chat, will also be beneficial. Joining Interactive Bees offers you the opportunity to work on cutting-edge SEO and AI projects for leading brands. You will be part of a collaborative and growth-focused team culture with opportunities to experiment with new tools and AI models. Competitive salary along with performance incentives make this role even more rewarding.,

As an AI/ML professional with 4-8 years of experience, your role will involve developing and implementing AI models and pipelines utilizing LLMs to meet business requirements. You will be responsible for designing and deploying machine learning solutions on Azure, ensuring high performance, scalability, and reliability. Using Python for data preprocessing, model development, and experimentation will be a key part of your responsibilities. Moreover, you will play a crucial role in building and integrating REST APIs using Flask to facilitate seamless model access for various applications. Your expertise in containerizing models and applications with Docker will be vital in streamlining deployment processes and enhancing portability. Collaboration with cross-functional teams to comprehend project objectives and develop customized AI solutions will also be a significant aspect of your job. To excel in this role, you should stay abreast of the latest advancements in LLMs and cloud technologies. Optimizing models for accuracy, performance, and inference speed based on real-time data will be essential to drive continuous improvement and innovation. Qualifications for this position include 4-8 years of experience in data science, specifically working with LLMs models in domains such as CPG, Retail, and Supply Chain. Hands-on experience in deploying AI/ML models on Azure and utilizing cloud-based tools is essential. Proficiency in Python for data manipulation, model building, and evaluation is required. Additionally, experience with Dockerization for deploying and managing AI applications, knowledge of Flask for building lightweight APIs, and strong problem-solving skills to translate business challenges into AI solutions are necessary. Good communication skills are vital for effective collaboration with stakeholders and presenting technical results convincingly. A working knowledge of the finance domain is a must for this role.,