Software Engineer, (Internal Audit) [All Levels]

Summary

Fieldguide builds software that automates and streamlines assurance and audit work in cybersecurity, privacy, and financial audits. The company is seeking a full-stack Software Engineer to build agent-driven experiences for internal audit and SOX control testing, own end-to-end product work, and improve the reliability and observability of agentic systems. The role involves close collaboration with product, design, and audit subject matter experts.

Responsibilities

• 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
• 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
• 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

Skills

• • A strong full-stack engineer who writes code every day and wants to continue doing so
• • You've built with LLMs in production, not just in prototypes. You know what breaks when real users and real documents hit an agent
• • Comfortable in ambiguous, fast-moving environments where you figure things out as you go
• • Energized by 0→1 work: you'd rather define the problem than inherit a spec
• • High degree of ownership; you don't wait to be told what to do
• • 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
• • 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
• • Shipped LLM-backed product features to production against real users
• • Comfortable full-stack, with enough backend depth to work in agent orchestration
• • Autonomy working from an ambiguous spec
• • A collaborative mindset with an ability to work across PM, design, and domain experts
• • Willingness to develop an Applied AI skillset including writing evals, using LLM observability tools, and being thoughtful about quality
• • 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
• • Experience in internal audit, SOX, financial services, accounting, or compliance
• • Familiarity with our stack: TypeScript, React, GraphQL, Node.js, PostgreSQL, Python, and Temporal
• • Experience with document processing, PDF/Excel manipulation, or evaluation frameworks for model output

Qualifications

Must Haves

• • A strong full-stack engineer who writes code every day and wants to continue doing so
• • You've built with LLMs in production, not just in prototypes. You know what breaks when real users and real documents hit an agent
• • Comfortable in ambiguous, fast-moving environments where you figure things out as you go
• • Energized by 0→1 work: you'd rather define the problem than inherit a spec
• • High degree of ownership; you don't wait to be told what to do
• • 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
• • 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
• • Shipped LLM-backed product features to production against real users
• • Comfortable full-stack, with enough backend depth to work in agent orchestration
• • Autonomy working from an ambiguous spec
• • A collaborative mindset with an ability to work across PM, design, and domain experts
• • Willingness to develop an Applied AI skillset including writing evals, using LLM observability tools, and being thoughtful about quality

Nice to Haves

• • 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
• • Experience in internal audit, SOX, financial services, accounting, or compliance
• • Familiarity with our stack: TypeScript, React, GraphQL, Node.js, PostgreSQL, Python, and Temporal
• • Experience with document processing, PDF/Excel manipulation, or evaluation frameworks for model output

Benefits

• 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