
Staff AI Engineer
Fieldguide2 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.
Tech Stack
Categories
AI & MLData Engineering