GrepJob
Fieldguide

Staff AI Engineer

Fieldguide
Apply
2 months ago

Base Salary

$240k - $310k/yr

Responsibilities

  • Set the architectural direction for Fieldguide's agentic systems and intelligence layer.
  • Identify and resolve systemic gaps that limit reliability, scalability, or product velocity.
  • Make high-leverage technical bets and drive them to completion across the organization.
  • Establish evaluation standards, observability infrastructure, and reliability frameworks at scale.
  • Own the most complex, cross-cutting product areas end-to-end.
  • Design agent orchestration and retrieval systems that handle enterprise-grade complexity.
  • Lead the evolution of Fieldguide's LLM infrastructure, including models and feedback loops.
  • Prototype, validate, and harden novel approaches before sharing with the broader team.
  • Partner with Engineering leadership, Product, and Design to shape the AI roadmap.
  • Create reusable platforms, patterns, and tooling that multiply team velocity across the org.
  • Identify and develop the next generation of senior engineers.
  • Translate long-term product vision into concrete technical strategies.
  • Stay at the frontier of LLM and agent research and adopt relevant advancements.
  • Build internal knowledge and shared understanding of AI system design.
  • Contribute to Fieldguide's reputation as a technical leader in vertical AI.

Requirements

  • 8+ years shipping production software, with 3+ years leading complex AI/ML systems.
  • Deep expertise in TypeScript, Python, and distributed system design.
  • Proven track record shipping LLM-powered products at enterprise scale.
  • Experience defining evaluation infrastructure and reliability standards for AI systems.
  • Mastery of retrieval architectures, RAG, vector databases, and embedding pipelines.
  • Hands-on with cutting-edge LLM APIs and agent frameworks.
  • Experience influencing technical direction across multiple teams or product areas.
  • Track record mentoring senior engineers and growing engineering culture.

Benefits

  • Competitive compensation with equity.
  • Comprehensive health and wellness benefits.
  • Flexible time off and work schedules.
  • Technology reimbursements.
  • 401(k) plan.
  • Twice-yearly in-person offsites across the U.S.
  • Wellness benefits starting on your first day.

Categories

AI & MLData Engineering