Software Engineer, (Internal Audit) [All Levels] at Fieldguide

Matcha

Northern (KY)

Hybrid

USD 150,000 - 230,000

Full time

11 days ago

Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Benefits offered by this job

Equity

Health benefits

Flexible time off

Tech reimbursements

401(k)

In-person offsites

Wellness benefits

Job summary

Fieldguide is hiring a senior full-stack engineer to build agent-driven audit tools on a ground-floor product. You will ship features that enable authentic audit work, tackle end-to-end workstreams, and own major product areas with PMs, designers, and domain experts.

You'll contribute to agentic systems, AI tooling, and engineering best practices while growing into leadership roles across teams. This remote-first role offers strong equity and growth potential.

Qualifications

Shipped LLM-backed product features to production against real users.
Full-stack with backend depth to work in agent orchestration.
Autonomy working from an ambiguous spec.
Collaborative mindset with PM, design, domain experts.
Willingness to develop Applied AI skills including evals, LLM observability, and quality.

Responsibilities

Design and build agent-driven experiences for SOX control testing, deciding where autonomy makes sense.
Own complex, end-to-end workstreams across the full stack.
Improve reliability, observability, and performance for agentic systems.
Turn agent output into finished audit deliverables and adaptable workpapers.
Ship code from day one and ramp quickly into ownership of major product areas.
Collaborate with product, design, and SOX SMEs daily to solve tough problems.
Contribute to how the team thinks about agentic systems and engineering best practices.
Lead complex projects or systems at senior level and define architectural tradeoffs.

Skills

Shipped LLM features

Full-stack depth

Ambiguity-driven autonomy

Cross-functional collaboration

Applied AI skills

Startup experience

Customer-facing experience

SOX/domain knowledge

Tech stack familiarity

Document processing tools

Tools

TypeScript, React, GraphQL, Node.js, PostgreSQL, Python, Temporal

PDF/Excel processing

Job description

About Us

Fieldguide is establishing a new state of trust for global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners—specifically in cybersecurity, privacy, and financial audits. We build software for the people who enable trust between businesses.

We're based in San Francisco, CA, and built remote-first. We're backed by Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, and more. Over 50 of the top 100 accounting and consulting firms trust Fieldguide to power mission-critical work.

We value diversity — in backgrounds and in experiences. We need people from all backgrounds and walks of life to help build the future of audit and advisory. Fieldguide's team is inclusive, driven, humble and supportive. We are deliberate and self-reflective about the kind of team and culture that we are building, seeking teammates that are not only strong in their own aptitudes but care deeply about supporting each other's growth.

About the Role

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.

What You'll Do

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

Who You Are (All Levels)

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

Higher-Level Responsibilities

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

Experience

Must-have:

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-have:

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

Not a fit if:

You’re not interested in deeply learning about Agents
You’ve never built a product to scale
You need a fully specified ticket to start
You’d rather not be in the room with customers and domain experts

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