AI Engineer (Generative AI / 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.