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.