Staff AI Engineer

Role overview

Set the technical direction for how production-grade large language model systems are designed, shipped, and operated. The work spans agents, retrieval-augmented generation, and evaluation pipelines intended for demanding enterprise environments, with the role acting as the bar-raiser for engineering quality across these efforts.

Responsibilities

- Define and continuously raise the technical bar for production LLM system design and operations - Architect solutions across agent workflows, RAG pipelines, and structured evaluation frameworks - Guide the path from prototype to reliable production for enterprise use cases - Establish engineering patterns and review practices adopted by the broader team - Partner with cross-functional peers to translate business requirements into working AI capabilities - Mentor engineers and contribute to long-term technical strategy

Requirements

- Significant experience shipping LLM-based systems to production at scale - Strong working knowledge of agents, retrieval-augmented generation, and evaluation methodologies - Deep enterprise software engineering fundamentals, including reliability and operability - Demonstrated ability to set technical direction and influence engineering culture - Track record operating complex AI systems in demanding customer contexts