Senior GenAI / Agentic AI Engineer

• Design, develop, and deploy production-grade GenAI and Agentic AI solutions using LLMs and modern agentic frameworks.
• Build and optimize RAG pipelines, including document processing, retrieval strategies, vector databases, and context management.
• Design and implement multi-agent architectures with capabilities such as tool use, memory, planning, guardrails, and observability.
• Develop scalable backend services and APIs using Python, FastAPI, and asynchronous programming, while integrating AI solutions with enterprise platforms and systems.
• Evaluate, monitor, and improve LLM performance through prompt engineering, LLM evaluations, HITL workflows, and secure cloud-based deployment practices.