Hiring: Software Engineer, (Internal Audit) [All Levels] Company: Fieldguide Location: San Francisco, CA Job Posted Time: 2026-09-17 05:31:03 Employment Type: Remote Target Skills & Keywords : Capital Markets, Embedded Systems, GraphQL, LLM, Microsoft Excel, Node.js, PostgreSQL, Python, React, TypeScript About the job Experience: •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 Required Skills: •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 Qualifications: •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 •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 Compensation: •$160,000 - $280,000 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!