Lead Artificial Intelligence Engineer

About the Role

We’re looking for a Lead AI Engineer to own the delivery of GenAI and agentic systems end-to-end—from research prototypes to secure, observable, scalable production systems. You will set engineering standards across AI projects, lead technical design, guide LLM orchestration, and drive platform reliability, performance, and cost efficiency.

Key Responsibilities

· End-to-end delivery: Own the full lifecycle (discovery → prototyping → hardening → production → monitoring → continuous improvement) of GenAI and agentic systems.

· LLM orchestration & tooling: Design and implement workflows using LangChain, LangGraph, LlamaIndex, Semantic Kernel or similar. Optimize prompt strategies, memory, tools, and policies.

· RAG & vector search: Architect robust RAG pipelines with vector DBs (Pinecone, Chroma, Weaviate, pgvector), including chunking, hybrid search, embeddings selection, caching, and eval...