AI Engineer (Python, Generative AI, LLM, RAG, Agentic AI, LangChain, AWS/Azure/GCP) Chennai/ Bangalore

5+ years of experience in AI/ML engineering with strong software development fundamentals. Strong programming skills in Python ; knowledge of SQL and Java is an advantage. Hands-on experience in Machine Learning, Deep Learning, and Natural Language Processing (NLP) .

Experience building Generative AI applications using Large Language Models (LLMs) . Strong expertise in Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, and Agentic AI . Hands-on experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, Hugging Face , and OpenAI SDK.

Experience working with vector databases such as Pinecone, FAISS, ChromaDB, Milvus, or Weaviate . Proficiency in ML frameworks and libraries including PyTorch, TensorFlow, Scikit-learn, XGBoost, Pandas, and NumPy . Experience developing and deploying REST APIs using FastAPI or Flask .

Good understanding of MLOps , including MLflow, Kubeflow, model deployment, monitoring, model versioning, and CI/CD pipelines . Experience with Docker, Kubernetes, Git, GitHub Actions, or Jenkins . Hands-on experience with at least one cloud platform: AWS, Azure, or GCP , including AI services such as SageMaker, Azure OpenAI, AWS Bedrock, or Vertex AI .

Experience working with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Redis . Knowledge of software engineering best practices, scalable system design, and Agile development methodologies. Excellent analytical, problem-solving, communication, and stakeholder management skills.

Ability to work collaboratively in cross-functional teams and deliver production-grade AI solutions.