AI / ML Engineer - Agentic AI

Role : Agentic AI Engineer

Location : Hyderabad (Onsite)

Our client is hiring an Agentic AI Engineer to design and deploy autonomous AI systems for healthcare-focused enterprise applications. The role involves building agentic workflows using LangChain / LangGraph, implementing RAG pipelines, integrating LLMs, and developing Python-based microservices within a regulated environment.

Key Responsibilities

Build autonomous agents and multi-agent workflows.

Implement RAG architectures with vector databases (Pinecone / FAISS).

Integrate LLMs with prompt chaining, memory, and safety guardrails.

Develop Python microservices / APIs for agent orchestration.

Deploy solutions via Docker / Podman and cloud-native platforms.

Ensure observability, telemetry, and AI governance compliance.

Required Skills

Strong Python and hands-on experience with agentic AI frameworks.

Expertise in RAG, vector DBs, embeddings, and LLM workflows.

Cloud deployment and containerization knowledge.

Experience with AI governance and monitoring tools.

Preferred

Healthcare / regulated industry experience.

AI safety, bias audit, and LLM fine-tuning exposure.

Familiarity with MLflow, W&B, or similar MLOps tools.