Senior AI Engineer

Role overview This role designs and ships production-grade LLM systems for enterprise clients, with a focus on agents, retrieval-augmented generation (RAG) pipelines, and evaluation harnesses. It sits at the intersection of applied research and reliable software engineering, turning model capabilities into deployed products.

Responsibilities - Design production LLM systems that meet enterprise reliability and performance expectations - Build agent-based applications that orchestrate model behavior and external tools - Implement RAG pipelines that ground model outputs in proprietary or domain-specific data - Develop evaluation harnesses to measure quality, safety, and regressions of LLM behavior - Ship systems end-to-end with engineering rigor suitable for enterprise deployment

Requirements - Senior-level experience designing and shipping LLM-powered systems in production - Practical knowledge of RAG architectures and retrieval patterns - Ability to build evaluation frameworks that meaningfully measure model behavior - Comfort working on agent designs that combine LLMs with tools and external state