onsite
Lead AI Engineer
AI Engineer
The Lead AI Engineer will be responsible for designing and building complex, multi-agent systems using LangGraph/LangChain and optimizing RAG pipelines for scale. This role involves developing automated evaluation pipelines, making critical decisions on model usage for cost and latency, and mentoring junior AI engineers.
About the role
Responsibilities
- Lead the architectural design of complex, multi-agent systems using LangGraph/LangChain that can handle long-running, asynchronous enterprise tasks.
- Own the "Evals": Design and build automated evaluation pipelines to measure agent accuracy, hallucination rates, and success metrics before deploying to production.
- Production Hardening: Optimize RAG pipelines for scale—tuning chunking strategies, retrieval algorithms, and vector search parameters for maximum relevance and speed.
- Cost & Latency Engineering: Make critical decisions on when to use massive foundation models (GPT-4) vs. smaller, specialized models to balance performance with unit economics.
- Collaborate with the Product Team to translate ambiguous business requirements ("Fix the ERP data") into concrete agentic behaviors and tool definitions.
- Mentor junior AI engineers, conducting code reviews and helping them level up their understanding of LLM application architecture.
Skills
LanggraphLangchainRag PipelinesVector SearchGPT 4LLM application architecture