Software Engineer, Agents

Fieldguide • San Francisco, CA

75d

About The Position

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.

Requirements

• 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

Nice To Haves

• 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)
• Shaping a new tech stack, product, or engineering org from the ground up
• Working with infrastructure or data layers such as AWS, Postgres, and Hasura
• Architecting systems for document-heavy workflows, including ingestion, processing, and retrieval
• Integrating or building AI-powered systems for document understanding or search
• Implementing DevOps and CI/CD best practices
• Applying information security and compliance principles (SOC 2, FedRAMP, etc.)

Responsibilities

• 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

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 101-250 employees