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.