Agentic AI Engineer - Python/Langchain

Position: Agentic AI Engineer

Overall/Total Experience: 6 - 9 years

Location: Bengaluru, Mumbai, Pune, Noida, Hyderabad, Kolkata, Gurugram, Chennai

Working Days: 5 Days working from office

Notice Period Requirement: 30 Days (Maximum)

Key Responsibilities:

- Design and build agentic AI solutions, including multi-agent workflows, tool use, planning, and memory.

- Develop LLM-powered use cases such as text-to-SQL, data quality agents, pipeline monitoring and self-healing, and documentation automation.

- Build RAG pipelines and integrate agents with Snowflake (Cortex) and enterprise data sources.

- Evaluate agent accuracy and reliability, and apply guardrails, observability, and responsible AI practices.

- Expose agents through APIs and integrate them with existing platform tools and workflows.

- Prototype new ideas quickly, run proofs of concept, and take successful ones to production.

- Track emerging AI trends and recommend tools and approaches suited to the team.

- Promote AI adoption through demos, documentation, and knowledge sharing.

Candidate Requirements:

- Strong AI / Innovation Specialist Profile with Agentic AI background and production-level LLM deployment experience.

- Must have minimum 6+ years of experience in AI or software engineering.

- Hands-on expertise in Agentic frameworks (LangChain, LangGraph, CrewAI, AutoGen) and LLM APIs (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock).

- Hands-on Python, RAG, and vector databases (Pinecone, FAISS, pgvector).

- Experience with Snowflake Cortex AI and LLM evaluation tools (LangSmith, Ragas).

- Proficient in MCP (Model Context Protocol), REST APIs, FastAPI, Docker, and AWS SageMaker.

- Ability to develop LLM-powered use cases such as text-to-SQL, data quality agents, and documentation automation.

- Ability to evaluate agent accuracy and apply guardrails, observability, and responsible AI practices.