Staff AI Engineer
Core
Define the technical direction, architecture, and standards for Fieldguide's agentic systems and intelligence layer to build reliable AI agents for enterprise audit and advisory workflows.
Role type
Staff AI Engineer (LLM & Agent Systems)
Builds
Enterprise-grade AI agent orchestration, retrieval systems, and LLM infrastructure (models, prompts, guardrails, feedback loops)
Domain
Financial services / Audit & Assurance / Generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
TypeScript, Python, distributed system design, LLM-powered product development, evaluation infrastructure design, retrieval architectures, RAG, vector databases, embedding pipelines, agent frameworks (LangGraph, etc.)
Preferred skills
Mentoring senior engineers, cross-team technical influence, translating product vision into technical strategy
Technologies
OpenAI, Anthropic, Gemini, LangGraph, vector databases, LLM APIs
Responsibilities
Set architectural direction for agentic systems; resolve systemic gaps in reliability and scalability; design agent orchestration and retrieval systems; lead evolution of LLM infrastructure; prototype and validate novel AI approaches; partner with leadership to shape the AI roadmap; mentor senior engineers
Seniority
Staff, hands-on IC with organizational influence
