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Senior AI Engineer

fieldguideUSAFull Time2mo ago
TypeScriptPythonPostgreSQLLLMOpenAIGeminiAIComplianceAccountingConsultingEngineeringReliability

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Job description

ABOUT US

Fieldguide is establishing a new state of trust for global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners - specifically in cybersecurity, privacy, and financial audits. We build software for the people who enable trust between businesses.

We're based in San Francisco, CA, and built remote-first. We're backed by Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, and more. Over 50 of the top 100 accounting and consulting firms trust Fieldguide to power mission-critical work.

ABOUT THE ROLE

Fieldguide is building AI agents for the most complex audit and advisory workflows. As a Senior AI Engineer, you'll own meaningful product areas end-to-end - designing agentic architectures, building evaluation systems, and shipping agents that professionals trust with mission-critical work.

This role is for engineers who have shipped LLM-powered features in production and are ready to take the lead on complex systems while mentoring those around them.

WHAT YOU'LL OWN

BUILD AND SHIP AI AGENTS

  • Design and build agentic systems that automate complex audit workflows end-to-end
  • Translate customer problems into concrete agent behaviors and orchestration logic
  • Orchestrate LLMs, tools, retrieval, and business logic into reliable, production-grade agent experiences
  • Own agents across their lifecycle: delivery, reliability, performance, and observability

EXECUTE WITH AI-NATIVE LEVERAGE

  • Use AI to accelerate design, build, test, and iteration cycles
  • Prototype quickly, then harden systems for enterprise-grade reliability
  • Build evaluation frameworks, feedback loops, and guardrails to improve agents over time
  • Design prompts, retrieval pipelines, and orchestration logic that perform at scale

DRIVE PRODUCT IMPACT

  • Make clear trade-offs on what to build, cut, or skip based on customer value
  • Partner with Product and Design to define capabilities that deliver real outcomes
  • Stay close to customer workflows and optimize for highest-impact problems
  • Identify capability gaps and unblock team progress proactively

MENTOR AND MULTIPLY THE TEAM

  • Raise the quality bar through code review, design feedback, and pairing
  • Create reusable abstractions, patterns, and tooling that increase team velocity
  • Share learnings across the team and establish engineering best practices

WHO YOU ARE

You're a strong software engineer who's built your skills for an AI-native world. These principles resonate with you:

  • Bias to building: You move fast and resolve uncertainty by shipping
  • AI-native instincts: You treat LLMs, agents, and automation as core building blocks
  • Strong product judgment: You decide what matters and why - not just how to implement it
  • Learning velocity: You learn quickly from feedback and adjust based on data
  • Grounded optimism: You improve what's broken today and push toward what's possible next
  • End-to-end ownership: You understand production systems and own outcomes

EXPERIENCE

We care more about capability and trajectory than years on a resume, but most strong candidates have:

  • 3-6+ years shipping production software in complex, real-world systems
  • Strong command of TypeScript, Python, and Postgres
  • Shipped LLM-powered features serving real production traffic
  • Built retrieval pipelines and agent orchestration systems
  • Implemented evaluation frameworks for model outputs and agent behavior
  • Worked with vector databases, embedding models, and RAG architectures
  • Hands-on experience with modern LLM APIs (OpenAI, Gemini, Anthropic) and agent frameworks
  • Comfortable operating in ambiguity and taking responsibility for outcomes

WHAT SHOULD EXCITE YOU

  • Enterprise-grade reliability: Building systems professionals depend on
  • Human-in-the-loop design: Knowing when to automate vs. when to surface decisions
  • Nuanced evaluation: Audits require judgment, so feedback structures matter
  • Explainability: Making AI outputs and reasoning transparent and trustworthy
  • Complex domains: Navigating compliance and enterprise rigor while moving fast
  • Shipping daily value: Delivering agent experiences customers use every day

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

OUR VALUES

  • Fearless - Inspire and break down seemingly impossible walls
  • Fast - Launch fast with excellence; iterate to perfection
  • Lovable - Deliver happiness and 11-star experiences
  • Owners - Execute and run the business with ownership
  • Win-win - Create mutual value and earn trust for life
  • Inclusive - Scale the best ideas with inclusive teams