Software Engineer, Agents

Fieldguide is redefining trust in global commerce by modernizing how cybersecurity, privacy, and financial audits are done. We build software that empowers the practitioners who enable trust between businesses—automating and streamlining their work to deliver faster, higher-quality results.

We’re a remote-first company headquartered in San Francisco, CA, backed by top investors including Bessemer Venture Partners, 8VC, Y Combinator, Floodgate, Elad Gil, and more. Our team values diversity of backgrounds and experiences, and we’re deliberate about building an inclusive, humble, and high-performing culture.

We’re hiring Software Engineers across multiple levels to join our growing team. Depending on your experience and interests, you may contribute as a mid-level engineer, take on leadership within a team, or drive technical strategy across teams and systems. The final level will be determined during the interview process based on scope and demonstrated experience.

In this role, you'll build AI agents that augment and automate complex audit workflows, working across the full stack to design agent architectures, integrate LLMs, and create systems that learn and improve over time.

This is an opportunity to have an outsized impact at a company with clear product-market fit and massive growth potential. We’re taking on legacy audit and accounting tools that are decades old, widely disliked, and ripe for disruption.

• Design, build, and deliver high-quality features that drive customer and business impact

• Build and iterate on AI agents that handle document analysis, workflow automation, and decision support

• Collaborate cross-functionally with product and design to turn complex problems into elegant, user-focused solutions

• Balance iteration speed with long-term maintainability and system health

• Continuously improve our tech stack, developer workflows, and reliability practices

• Contribute to a supportive, growth-oriented engineering culture based on trust, learning, and excellence

• Strong software engineering fundamentals and experience shipping production code

• Familiarity with modern web technologies such as TypeScript, React, Node.js, Python, and GraphQL

• Experience with LLM APIs, prompt engineering, and agentic patterns (tool use, chain-of-thought, etc.)

• Writing maintainable, well-tested, and observable code

• Sound judgment around tradeoffs, reliability, and performance in AI systems

• Ability to scope, prioritize, and deliver work that moves business outcomes

• Clear and proactive communication around progress, risks, and decisions

• Ownership mindset - following work through from ideation to production and iteration

• Empathy for teammates and customers; contributes positively to team culture

• Open to feedback and committed to continuous improvement

• Works effectively across disciplines and functions to achieve shared goals

• Embodies Fieldguide’s values: Fearless, Fast, Lovable, Owners, Win-win, Inclusive

• Mentors and supports peers; contributes to hiring and onboarding processes

• Curious and self-driven in learning new skills, technologies, and domains

• Take increasing ownership - from building features to shaping architecture and mentoring others - as you grow.

• Lead complex agent projects or systems, setting technical direction and ensuring long-term health

• Collaborate with PMs and designers to shape roadmaps and define architectural tradeoffs

• Serve as a domain expert within one or more technical areas (e.g., agent orchestration, LLM integrations, eval systems)

• Mentor other engineers and help raise the technical bar across the team

• Drive company-level agentic AI initiatives and influence cross-team architecture

• Set and champion engineering standards for scalability, security, and performance

• Partner with engineering and product leadership to define long-term AI technical strategy

• Serve as a trusted advisor to leaders across Engineering, Product, and Design

• Represent Fieldguide externally through writing, speaking, and open-source contributions

• Experience or familiarity with audit, assurance, or risk management domains

• Building production AI agents or LLM-powered applications

• Designing and implementing evaluation pipelines for AI systems

• Fine-tuning models or working with retrieval-augmented generation (RAG)

• Competitive compensation packages with meaningful equity ownership

• Comprehensive health and wellness benefits, including free therapy sessions

• Flexible PTO and work schedules

• Technology & work-from-home reimbursements

• 401(k) plan

• Twice-yearly in-person offsites across the U.S.

Fearless — Inspire & break down seemingly impossible walls

Fast — Launch fast with excellence; iterate to perfection

Lovable — Deliver happiness & 11-star experiences

Owners — Execute & run the business with ownership

Win-win — Create mutual value & earn trust for life

Inclusive — Scale the best ideas with inclusive teams