Software Engineer, Internal Audit (All Levels)

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

• 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