AI Engineer (Generative AI / Agentic AI)

As an Agentic AI Engineer, you will be responsible for designing and deploying autonomous AI systems for healthcare-focused enterprise applications. Your role will involve 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. Qualifications Required: - Strong Python skills and hands-on experience with agentic AI frameworks. - Expertise in RAG, vector DBs, embeddings, and LLM workflows. - Knowledge of cloud deployment and containerization. - Experience with AI governance and monitoring tools. In addition to the above, our client is looking for candidates with the following preferred qualifications: - Healthcare/regulated industry experience. - Knowledge of AI safety, bias audit, and LLM fine-tuning. - Familiarity with MLflow, W&B, or similar MLOps tools.,