Description :

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.