18 Openai Api Jobs

Experience : 3+ years Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Must have Skills required: Constructive communication, Open AI API, AWS, MongoDB, Node Js Job Description: NodeJs Developer at Adiuvo Key Responsibilities: 1. Develop, maintain, and improve our platform using Node.js, Python, and integrating with the OpenAI API. 2. Engage in the research, development, and integration of generative AI algorithms to enhance our products. 3. Collaborate with cross-functional teams to define, design, and ship new features. 4. Contribute to the development of virtual assistants, ensuring seamless user experiences, and leveraging the capabilities of OpenAI's Whisper ASR system. 5. Dive deep into the realms of Neural Radiance Fields (NERFs) and its applications. 6. Participate in code reviews, ensuring the highest level of quality and adherence to best practices. 7. Stay updated with the latest industry trends and technologies to ensure our platform remains at the forefront. Key Skills & Qualifications: 1. Proficient in Node.js and Python with a minimum of 3 years of experience. 2. Experience with OpenAI API and its suite of tools. 3. Familiarity with Whisper Automatic Speech Recognition (ASR) system. 4. Prior experience with generative AI and virtual assistants is highly desirable. 5. Familiarity or experience with Neural Radiance Fields (NERFs) will be a significant plus. 6. Strong understanding of software development best practices and design principles. 7. Excellent problem-solving Skills and the ability to think critically and innovate. 8. Strong written and verbal communication Skills . Desirable Experience: 1. Hands-on experience with generative AI frameworks and tools. 2. Practical knowledge in developing and deploying virtual assistants. 3. Previous work in projects involving Neural Radiance Fields (NERFs). Skills Constructive communication, Open AI API, AWS, MongoDB, Node Js

Notice period: Immediate 15days Profile source: Tamil Nadu Timings: 1:00pm 10:00pm (IST) Work Mode: WFO (Mon-Fri) Job Summary: We are looking for a driven and curious Data Scientist to join our growing AI & Data Science team. The ideal candidate will have a foundational understanding of data analysis and machine learning, with a strong interest in emerging AI paradigms such as Retrieval-Augmented Generation (RAG) and agentic AI systems . This role provides an exciting opportunity to work on real-world applications of LLMs and support the development of intelligent, task-oriented agents. Key Responsibilities: Clean, transform, and analyze data (structured and unstructured) from diverse Perform exploratory data analysis to identify actionable Support the development and evaluation of traditional and deep learning Assist in integrating LLMs into workflows using RAG Collaborate with senior team members to build and refine agentic AI systems for task Contribute to the design and testing of knowledge retrieval systems, including vector stores and embedding models. Develop dashboards, visualizations, and documentation to effectively communicate insights and Required Skills & Qualifications: Bachelors degree in Data Science, Computer Science, Statistics, Engineering, or a related discipline. Strong programming proficiency in Python, including experience with libraries like pandas, numpy, scikit-learn, and either LangChain or LlamaIndex. Fundamental understanding of Natural Language Processing (NLP) and large language models (LLMs). Hands-on experience with SQL and database A strong passion for advancements in Artificial Intelligence and a commitment to ongoing Exposure to Retrieval-Augmented Generation (RAG) architectures, including vector databases like FAISS, Chroma, or Pinecone. Familiarity with LLM frameworks, such as the OpenAI API and Hugging Face Knowledge of agentic AI systems, including task planning and autonomous agents Experience with cloud platforms (AWS, GCP, Azure) and version control systems (Git).

Responsibilities AI-Powered Software Development & API Integration Develop AI-driven applications, microservices, and automation workflows using FastAPI, Flask, or Django, ensuring cloud-native deployment and performance optimization. Integrate OpenAI APIs (GPT models, Embeddings, Function Calling) and Retrieval-Augmented Generation (RAG) techniques to enhance AI-powered document retrieval, classification, and decision-making. Data Engineering & AI Model Performance Optimization Design, build, and optimize scalable data pipelines for AI/ML workflows using Pandas, PySpark, and Dask, integrating data sources such as Kafka, AWS S3, Azure Data Lake, and Snowflake. Enhance AI model inference efficiency by implementing vector retrieval using FAISS, Pinecone, or ChromaDB, and optimize API latency with tuning techniques (temperature, top-k sampling, max tokens settings). Microservices, APIs & Security Develop scalable RESTful APIs for AI models and data services, ensuring integration with internal and external systems while securing API endpoints using OAuth, JWT, and API Key Authentication. Implement AI-powered logging, observability, and monitoring to track data pipelines, model drift, and inference accuracy, ensuring compliance with AI governance and security best practices. AI & Data Engineering Collaboration Work with AI/ML, Data Engineering, and DevOps teams to optimize AI model deployments, data pipelines, and real-time/batch processing for AI-driven solutions. Engage in Agile ceremonies, backlog refinement, and collaborative problem-solving to scale AI-powered workflows in areas like fraud detection, claims processing, and intelligent automation. Cross-Functional Coordination and Communication Collaborate with Product, UX, and Compliance teams to align AI-powered features with user needs, security policies, and regulatory frameworks (HIPAA, GDPR, SOC2). Ensure seamless integration of structured and unstructured data sources (SQL, NoSQL, vector databases) to improve AI model accuracy and retrieval efficiency. Mentorship & Knowledge Sharing Mentor junior engineers on AI model integration, API development, and scalable data engineering best practices, and conduct knowledge-sharing sessions. Education & Experience Required 12-18 years of experience in software engineering or AI/ML development, preferably in AI-driven solutions. Hands-on experience with Agile development, SDLC, CI/CD pipelines, and AI model deployment lifecycles. Bachelor's Degree or equivalent in Computer Science, Engineering, Data Science, or a related field. Proficiency in full-stack development with expertise in Python (preferred for AI), Java Experience with structured & unstructured data: SQL (PostgreSQL, MySQL, SQL Server) NoSQL (OpenSearch, Redis, Elasticsearch) Vector Databases (FAISS, Pinecone, ChromaDB) Cloud & AI Infrastructure: AWS: Lambda, SageMaker, ECS, S3 Azure: Azure OpenAI, ML Studio GenAI Frameworks & Tools: OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, AutoGPT, CrewAI. Experience in LLM deployment, retrieval-augmented generation (RAG), and AI search optimization. Proficiency in AI model evaluation (BLEU, ROUGE, BERT Score, cosine similarity) and responsible AI deployment. Strong problem-solving skills, AI ethics awareness, and the ability to collaborate across AI, DevOps, and data engineering teams. Curiosity and eagerness to explore new AI models, tools, and best practices for scalable GenAI adoption.

Job Summary: We are seeking a highly skilled and hands-on AI Engineer with 3+ years of proven experience in building and deploying solutions using Generative AI and Large Language Models (LLMs). You will work on cutting-edge applications leveraging transformer-based architectures, fine-tuning, prompt engineering, and scalable AI deployments. This role is ideal for engineers passionate about AI research and real-world productization of generative AI technologies. Key Responsibilities: Design, develop, and deploy solutions using LLMs (e.g., GPT, LLaMA, Mistral, Claude, PaLM, etc.) for various NLP and content generation tasks. Work on fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) pipelines. Integrate LLMs into enterprise applications with APIs and orchestrate workflows using Python, LangChain, or similar frameworks. Optimize model performance, latency, and cost for production use. Collaborate with data scientists, MLOps engineers, and product managers to deliver scalable AI features. Conduct experiments, analyze results, and publish internal findings or contribute to whitepapers. Ensure ethical, secure, and responsible use of AI technologies in all implementations. Required Skills & Experience: 3+ years of hands-on experience working with Generative AI, LLMs, and NLP technologies. Strong programming skills in Python and experience with libraries like Transformers (Hugging Face), LangChain, PyTorch, TensorFlow, etc. Proven track record of fine-tuning LLMs, developing embeddings, and working with vector databases (e.g., FAISS, Pinecone, Weaviate). Experience deploying models on cloud platforms (AWS, Azure, GCP) and using ML pipelines or MLOps tools. Solid understanding of deep learning, NLP architectures, tokenization, and evaluation metrics for generative models. Experience in API development and integration of LLMs into user-facing applications. Preferred Qualifications: Masters or PhD in Computer Science, AI/ML, Data Science, or related field. Experience with OpenAI APIs, Anthropic, Cohere, or open-source LLMs (e.g., Mistral, Falcon, LLaMA 3). Understanding of RLHF (Reinforcement Learning from Human Feedback) and model alignment techniques. Contributions to open-source AI projects or publications in GenAI/LLM.

ABOUT THE ROLE Role Description: We are seeking an accomplished and visionary Data Scientist/ GenAI developer to join Amgens Enterprise Data Management team. As part of MDM team, you will be responsible for design ing , develop ing , and deploy ing 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 andmanage 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: Masters degree with 4 - 6 years of experience in Business, Engineering, IT or related field OR Bachelors 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.

2-5 yrs exp with hands-on AI/ML and generative AI expertise. Proficient in Python & have experience building scalable backend services using FastAPI, Flask, Django. Familiar with GenAI tools such as OpenAI APIs, Hugging Face, LangChain, Transformers. Food allowance Health insurance Provident fund

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Assistant Manager, Data Analytics & Reporting The Role demands for a highly qualified professional with experience in Data Analytics, Reporting, Automation using Python/PySpark/SQL, Statistical modelling, Knowledge of healthcare datasets (LAAD, APLD, Xponent, Prescriber-level data), and Visualization using PowerBI. Responsibilities . Analyze datasets like LAAD, APLD, Xponent, Prescriber-level data to answer business questions and to create data models which would be further used for data modelling and visualization. . Perform deep-dive analytics to create reports on drug markets. . Perform data evaluation for its relevance to existing and upcoming business needs. . Perform statistical analysis like descriptive analysis, test-control matching, PSM, etc. for various use cases. . Use techniques like classical machine learning (Regression & Clustering), XGBoost, Decision Trees, etc. for predictive analysis. . Build and maintain data pipelines on Databricks using PySpark, Python, and SQL. . Ensure data integrity, preprocessing, and transformation for robust analytics . Develop interactive dashboards using Power BI to drive strategic insights. . Maintain all the Power BI dashboards already in production along with weekly QCs to ensure correct reporting. . Identify opportunities to improve and optimize the dashboards. Qualifications we seek in you! Minimum Qualifications . Engineering or Economics or Statistics graduation with relevant experience in data analytics within the life-sciences & pharma domain . Highly skilled in Data science & statistical techniques . Proficiency in Python/R, PySpark and SQL . Experience of developing dashboards in Power BI preferred . Experience of working on major pharma commercial datasets . Effective verbal & written communication, and good storyboarding skills to present results to stakeholders . Strong problem-solving and critical thinking skills . Zeal to automate and bring efficiencies and develop advanced analytics capabilities to progress offerings Preferred Qualifications/ Skills . Ability to work cross-functionally with business and technical teams . Able to nurture robust working relationships with the team, peers, and clients, scheduling flexibility required . Overall candidate should have problem-solving, macro-level research and analytics approach and good at numbers . Experience in using and integrating GenAI methods (OpenAI API, Copilot integration, ThoughtSpot) . Effective communication and interpersonal skills Why join Genpact . Lead AI-first transformation - Build and scale AI solutions that redefine industries . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career&mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills . Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace . Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Job Description: We are seeking a highly skilled and passionate AI/ML Engineer with strong expertise in Generative AI and Large Language Models (LLMs) . The ideal candidate will have hands-on experience in building, fine-tuning, and deploying agentic AI systems using modern GenAI frameworks. You will work on cutting-edge projects involving prompt engineering , RAG pipelines , and memory architectures such as vector databases. Responsibilities: Design and implement AI/ML solutions using modern LLM architectures and agentic AI concepts . Build and optimize intelligent agents using frameworks such as LangChain, AutoGen, CrewAI , or Semantic Kernel . Develop and fine-tune generative AI models with Transformers , HuggingFace , OpenAI API , etc. Implement and enhance Retrieval-Augmented Generation (RAG) pipelines and memory systems like vector databases (e.g., FAISS, Pinecone). Write high-performance Python code to support experimentation, model integration, and API interactions. Collaborate cross-functionally with product, design, and engineering teams in an agile development environment. Deploy AI solutions on cloud platforms (AWS, Azure, or GCP) with a focus on scalability and performance. Stay updated with the latest advancements in the AI/ML/GenAI space. Required Experience: 3 to 8 years of experience in AI/ML , with at least 1 year in Generative AI / LLM-based projects . Proven expertise in Python programming and related libraries for ML/GenAI. Hands-on experience with one or more GenAI frameworks (LangChain, AutoGen, etc.). Solid understanding of prompt engineering , RAG , vector DBs , and agent-based systems . Cloud deployment experience (AWS, Azure, or GCP) is a must. Strong analytical and problem-solving skills.

Position: Junior AI Research Engineer (Generative AI) Location: Noida Company: CodeFire Technologies Pvt. Ltd. About the Role: Looking for a sharp and motivated Junior AI Research Engineer to join our team and work on cutting-edge Generative AI projects. If you're from a premier institute (IIT/NIT/IIIT/Passionate Coder), work on cutting edge Gen AI solutions, and love solving complex problems, this is your chance to work hands-on with large language models, GenAI tools, and cutting edge AI solutions. What You'll Do: 1. Understand nuances of multiple LLMs and use them in developing applications 2. Explore different techniques of prompt engineering and measure its impact on solutions 3. Look out for latest research and keep yourself updated 4. Be part of core group that leads Gen AI practice in the company What We're Looking For: 1. Recent graduate (any branch) from IIT/NIT/IIIT/Passionate Coder 2. Strong analytical and logical reasoning 3. Research oriented mindset 4. Passionate to be on the forefront of GenAI revolution 5. Hands-on experience (projects, papers, GitHub, etc.) in AI 6. Worked with Python, PyTorch/TensorFlow, LangChain, or OpenAI APIs Why Join Us: 1. Work on meaningful, cutting edge, real-world GenAI applications 2. Mentorship from experienced tech leaders 3. Flexible and innovation-driven culture 4. Exposure to early-stage AI product building Apply Now Share your resume and AI project work at hr@codefire.in or whatsapp 7042203446

Node.JS developer- Remote Experience: 5 - 8 Years Exp Salary : Upto USD 2,500 / month Preferred Notice Period : Within 30 Days Shift : 1:30PM to 9:30PM IST Opportunity Type: Remote Placement Type: Contractual Contract Duration: Full-Time, 06 Months (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Nodejs, Python Good to have skills : OpenAI API UK IT Services and IT Consulting (One of Uplers' Clients) is Looking for: Node.JS developer- Remote who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Role: Node.js Developer- Remote Engagement type: Fulltime Contractual - 6 months (Possible for extension) Work Mode: Remote Roles and Responsibilities : Develop, maintain, and improve our platform using Node.js, Python, and integrating with the OpenAI API. Engage in the research, development, and integration of generative AI algorithms to enhance our products. Collaborate with cross-functional teams to define, design, and ship new features. Contribute to the development of virtual assistants, ensuring seamless user experiences, and leveraging the capabilities of OpenAI's Whisper ASR system. Dive deep into the realms of Neural Radiance Fields (NERFs) and its applications. Participate in code reviews, ensuring the highest level of quality and adherence to best practices. Stay updated with the latest industry trends and technologies to ensure our platform remains at the forefront. Requirements : Key Skills & Qualifications: Proficient in Node.js and Python with a minimum of 3 years of experience. Experience with OpenAI API and its suite of tools. Familiarity with Whisper Automatic Speech Recognition (ASR) system. Prior experience with generative AI and virtual assistants is highly desirable. Familiarity or experience with Neural Radiance Fields (NERFs) will be a significant plus. Strong understanding of software development best practices and design principles. Excellent problem-solving skills and the ability to think critically and innovate. Strong written and verbal communication skills. Desirable Experience: Hands-on experience with generative AI frameworks and tools. Practical knowledge in developing and deploying virtual assistants. Previous work in projects involving Neural Radiance Fields (NERFs). How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: They're pioneering the intersection of technology and humanity. They believe in pushing the boundaries of what machines can do while keeping the human touch at the core of their innovations. If you're passionate about cutting-edge technologies and creating next-generation solutions, this is the place for you. It's a 2 month old start-up where team of 2 people for now. The CEO & CTO is someone who is running the organization. Why Join ? - Be at the forefront of technological innovation, working with notable tech stacks like OpenAI. - Work with a dynamic and passionate team. - Engage in exciting projects that challenge the status quo. - Competitive salary and benefits. - Opportunities for growth and learning in a fast-paced environment. If you're excited about shaping the future of human-machine collaboration, they'd love to hear from you. Apply today! Few blogs by Tom on AI as below :https://www.linkedin.com/feed/update/urn:li:activity:7218517175513313280/ About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

About the Role We are looking for a Senior Data Scientist to come and work on our growing AI stack. You will be working with a team of highly skilled and motivated data scientists and machine learning engineers. If you are excited about natural language understanding and machine translation, AppZen is the right place for you to apply and grow your skills. Key Responsibilities: Solid understanding of machine learning fundamentals, and familiar with standard algorithms and techniques Solid understanding of Python programming, including core data structures (lists, dicts, sets, tuples), object-oriented design, and writing clean, modular, and maintainable code. Experience with code optimization techniques, including efficient memory and runtime usage, vectorization (NumPy/Pandas), and debugging performance bottlenecks. Hands-on experience with LLMs such as GPT, LLaMA, or Claude, including evaluation and integration into production pipelines. Proficiency in using GenAI frameworks and tools (e.g., Hugging Face Transformers, LangChain, OpenAI APIs, vLLM, or AutoGen) to build, customize, and deploy language-based solutions. Ability to analyze, evaluate, and optimize LLM outputs for accuracy, safety, relevance, and bias mitigation in enterprise use cases. Work with internal and external stakeholders on program management Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful Excellent written and verbal technical communication skills; communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions M.Tech/B.Tech. or equivalent experience in Computer Science, Engineering, Statistics, or other relevant technical field Must have 6+ years of industry experience You are a team player Nice-to-Have: Track record of having developed novel algorithms, e.g. publications in one or more of the following: KDD, WWW, NIPS, ISWC, NAACL, ACL, SIGIR, EMNLP, ICML etc Good Understanding of MLOps tools/processes like ElasticSearch, Jenkins, Docker is plus. Expertise in building and fine-tuning LLM models using Transformers and RAG systems.

We are hiring a Marketing Automation & Digital Operations Specialist to take full ownership of our backend marketing systems, automation workflows, SEO execution, and inbound lead funnels. What Were Looking For: An experienced operator who can: Build and maintain marketing automation workflows across tools like: Zapier , Make.com , Clay , Smartlead , Salesrobot AI integrations (OpenAI, ChatGPT API, etc.) Execute SEO and content updates (no fluff content, real impact SEO) Manage and schedule LinkedIn posts, newsletters, and social content Build lead magnets and connect them to opt-in journeys Handle CRM enrichment, segmentation, and nurturing workflows Set up and run inbound lead capture and follow-up systems Tools You Must Be Comfortable With: Zapier, Make.com, Clay, Smartlead, Salesrobot OpenAI (prompt design + API usage) LinkedIn + Buffer/Hootsuite/ContentStudio Google Search Console / RankMath or equivalent SEO tools WordPress (basic updates), Google Sheets, Notion Responsibilities: End-to-end setup and optimization of automation workflows Maintain and post scheduled content across social platforms Handle basic SEO: updating pages, publishing optimized content, tracking performance Build and manage inbound lead journeys (from landing page to email to CRM) Monitor and optimize lead flow from anonymous visitor to enriched contact Experience Required: 3+ years of hands-on experience with automation tools and marketing ops Portfolio or documented workflows showing real results Previous ownership of multi-channel marketing backend is preferred Ideal Traits: Self-starter, works independently, delivers without micromanagement Fast turnaround, documents systems clearly Clear thinker who can prioritize and simplify

Key deliverables: Develop AI automation scripts using Python and OpenAI API Deploy GenAI solutions and workflows in Azure Implement LLM-powered applications with Langchain Integrate AI tools with Azure Cognitive and Bot Services Role responsibilities: Design and build scalable AI/ML models and pipelines Lead Azure-based GenAI deployments and orchestration Collaborate with data scientists and developers on solution design Optimize model performance and ensure reliability in production

Key deliverables: Develop AI automation scripts using Python and OpenAI API Deploy GenAI solutions and workflows in Azure Implement LLM-powered applications with Langchain Integrate AI tools with Azure Cognitive and Bot Services Role responsibilities: Design and build scalable AI/ML models and pipelines Lead Azure-based GenAI deployments and orchestration Collaborate with data scientists and developers on solution design Optimize model performance and ensure reliability in production

Key deliverables: Develop AI automation scripts using Python and OpenAI API Deploy GenAI solutions and workflows in Azure Implement LLM-powered applications with Langchain Integrate AI tools with Azure Cognitive and Bot Services Role responsibilities: Design and build scalable AI/ML models and pipelines Lead Azure-based GenAI deployments and orchestration Collaborate with data scientists and developers on solution design Optimize model performance and ensure reliability in production

Hiring AI & Data Retrieval Engineer with expertise in NLQ, Text-to-SQL, LLMs, LangChain, pgVector, PostgreSQL, vector search, Python, AI libraries, Agentic AI & API integration. Exp with NLP, RAG, BI tools, live projects & LLM fine-tuning preferred.

We are looking for an AI Engineer (Senior Software Engineer). Interested candidates email me resumes on mayura.joshi@lionbridge.com OR WhatsApp on 9987538863 Responsibilities: Design, develop, and optimize AI solutions using LLMs (e.g., GPT-4, LLaMA, Falcon) and RAG frameworks. Implement and fine-tune models to improve response relevance and contextual accuracy. Develop pipelines for data retrieval, indexing, and augmentation to improve knowledge grounding. Work with vector databases (e.g., Pinecone, FAISS, Weaviate) to enhance retrieval capabilities. Integrate AI models with enterprise applications and APIs. Optimize model inference for performance and scalability. Collaborate with data scientists, ML engineers, and software developers to align AI models with business objectives. Ensure ethical AI implementation, addressing bias, explainability, and data security. Stay updated with the latest advancements in generative AI, deep learning, and RAG techniques. Requirements: 8+ years experience in software development according to development standards. Strong experience in training and deploying LLMs using frameworks like Hugging Face Transformers, OpenAI API, or LangChain. Proficiency in Retrieval-Augmented Generation (RAG) techniques and vector search methodologies. Hands-on experience with vector databases such as FAISS, Pinecone, ChromaDB, or Weaviate. Solid understanding of NLP, deep learning, and transformer architectures. Proficiency in Python and ML libraries (TensorFlow, PyTorch, LangChain, etc.). Experience with cloud platforms (AWS, GCP, Azure) and MLOps workflows. Familiarity with containerization (Docker, Kubernetes) for scalable AI deployments. Strong problem-solving and debugging skills. Excellent communication and teamwork abilities Bachelors or Masters degree in computer science, AI, Machine Learning, or a related field.

Develop and deploy AI-based applications leveraging LLMs and Generative AI models like GPT, Gemini, or similar frameworks Build scalable backend systems using Python, ensuring seamless integration with UI/UX components Design and optimize generative AI models to address diverse business challenges Fine-tune pre-trained LLMs to align with specific use cases Work closely with cross-functional teams, including data scientists, UI/UX developers, and product managers, to deliver robust solutions Collaborate with clients to gather requirements and develop customized AI capabilities Deploy solutions on cloud platforms (Azure, AWS, or GCP) and ensure system scalability and performance