Solid proficiency in Python and experience with relevant libraries and frameworks (e.g., pandas, LangChain, LangGraph)

. • Solid experience working with API calls (FAST API, Rest API)

• Proficiency with LLM integrations

• At least one project is live in production

• Ability to work efficiently within a fast-paced, deadline-driven environment, prioritize tasks, manage time effectively, and communicate challenges or issues proactively

• Valuable to have experience working using MCP servers .

mplement Python modules for data ingestion, prompt orchestration, and basic tool-agent workflows.

• Build REST APIs/microservices (FastAPI/Flask) to connect LLMs with enterprise data sources.

• Assist in developing Retrieval-Augmented Generation (RAG) components: ingestion, embeddings, chunking, and retrieval. • Configure and integrate LLMs (OpenAI, Gemini, Claude, Llama, Mistral) via APIs or SDKs.

• Write unit/integration tests; contribute to robust error handling and logging. • Support feature deployment and troubleshoot issues in staging/production.

📌 Generative Ai Hyderabad (India)
🏢 Tata Consultancy Services
📍 India