Software Engineer (Internal Audit, All Levels)

• You’ll join a genuine 0→1 team on the ground floor of one of the company’s biggest new bets. You will work full-stack on long-horizon agents, ship features that do real audit work, and work alongside practitioners
• Depending on your experience and what you’re looking to own, you may join building within a major agent area, owning one end-to-end, or setting technical direction for agentic audit work across the team. We’re hiring across all levels and will calibrate during interviews based on scope and demonstrated experience
• Design and build agent-driven experiences for SOX control testing, deciding where autonomy makes sense and where the auditor stays in the loop
• Own complex, end-to-end workstreams across the full stack
• Make long agentic runs trustworthy: improve reliability, repeatability, performance, and observability so the same evidence produces the same defensible conclusion every time
• Turn agent output into finished audit deliverables, including structured workpapers that adapt to whatever template a firm brings
• Ship code from day one and ramp quickly into full ownership of significant product areas
• Collaborate daily with product managers, designers, and SOX subject matter experts to work through difficult domain problems
• Help shape technical direction and contribute to how the team thinks about agentic systems, AI tooling, and engineering best practices
• At the Senior level, you may:
• Lead complex 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, evaluation and quality, document processing, frontend architecture)
• Mentor other engineers and help raise the technical bar across the team
• At the Staff level, you may:
• Drive company-level technical 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 technical strategy
• Serve as a trusted advisor to leaders across Engineering, Product, and Design
• Represent Fieldguide externally through writing, speaking, and open-source contributions
• What Should Excite You:
• 0→1 on the biggest bet: You’re building the agent and the product from scratch, on the ground floor of where the company is going
• Real audit stakes: Your work directly affects what firms put in front of their clients, and what a reviewer is willing to sign
• Customer proximity: Design-partner firms and an embedded SOX expert use what you ship within days of it landing
• High trust, high autonomy: You’re given ambiguous problems and trusted to define the plan

Benefits

• Health
• Dental
• PTO- You’ve built with LLMs in production, not just in prototypes. You know what breaks when real users and real documents hit an agent
• High degree of ownership; you don’t wait to be told what to do
• Able to pick up complex domain concepts quickly. You don’t need to know SOX or internal controls, but you’re the kind of person who can internalize it fast
• Already using AI coding tools in your workflow and curious about where agentic approaches create real leverage
• A strong full-stack engineer who writes code every day and wants to continue doing so
• Energized by 0→1 work: you’d rather define the problem than inherit a spec
• Comfortable in ambiguous, fast-moving environments where you figure things out as you go
• A genuine team player across the organization, not just within engineering. You’ll work directly with PM, design, domain experts, and customer-facing teams, and you treat that as the best part of the job
• A collaborative mindset with an ability to work across PM, design, and domain experts
• Must-have:
• Willingness to develop an Applied AI skillset including writing evals, using LLM observability tools, and being thoughtful about quality
• Comfortable full-stack, with enough backend depth to work in agent orchestration
• Shipped LLM-backed product features to production against real users
• Autonomy working from an ambiguous spec
• Startup experience, as a founder or as an early engineer
• A track record of 0→1 projects you took from nothing to something people use
• Experience working directly with customers, and comfort being in the room when they use what you built
• Familiarity with our stack: TypeScript, React, GraphQL, Node.js, PostgreSQL, Python, and Temporal
• Experience in internal audit, SOX, financial services, accounting, or compliance
• Experience with document processing, PDF/Excel manipulation, or evaluation frameworks for model output