Software Engineer (Internal Audit, All Levels)

Join a groundbreaking team at the forefront of innovation in internal audit. As a Software Engineer, you'll work full-stack on long-horizon agents, ship features that impact real audit work, and collaborate with practitioners. You'll have the opportunity to shape technical direction, own complex workstreams, and contribute to the development of agent-driven experiences for SOX control testing. This role offers high trust, high autonomy, and the chance to make a significant impact on the company's future.

Concevoir et construire des expériences pilotées par des agents pour les tests de contrôle SOX, en décidant où l'autonomie a du sens et où l'auditeur reste impliqué.

Already using AI coding tools in your workflow and curious about where agentic approaches create real leverage

Responsibilities

• Posséder des flux de travail complexes de bout en bout à travers l'ensemble de la pile technologique, en améliorant la fiabilité, la répétabilité, la performance et l'observabilité.
• Collaborer quotidiennement avec des chefs de produit, des designers et des experts en la matière pour résoudre des problèmes de domaine difficiles.
• You've built with LLMs in production, not just in prototypes. You know what breaks when real users and real documents hit an agent
• A collaborative mindset with an ability to work across PM, design, and domain experts

Requirements

• 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
• 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

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

• 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

Preferred

• Startup experience, as a founder or as an early engineer
• Experience with document processing, PDF/Excel manipulation, or evaluation frameworks for model output

Pay

USD 160,000 - 280,000

Benefits

• A track record of 0→1 projects you took from nothing to something people use