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Fieldguide

Software Engineer (Agents, Internal Audit)

Posted Updated
Discussion
  • You’ll join a genuine 0→1 team on the ground floor of one of the company’s biggest new bets. This seat is specifically product-focused: you’ll own agent quality, ship agents 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
  • Make agent judgment repeatable: run error analysis on real testing data and turn findings into concrete fixes
  • Tradeoffs such as quality/latency/cost across a long multi-phase run
  • Build structured-output pipelines that turn model output into real audit artifacts
  • Take ambiguous problem statements and turn them into a plan, a shipped feature, and a clear read on what was cut and why
  • Work directly with an embedded subject matter expert and with design-partner firms, turning their feedback into agent changes within days
  • Expand agent coverage into new controls and new areas of internal audit
  • Product-minded and full-stack: you’ve shipped LLM-backed features to production against real users, and you measure yourself on whether they got used
  • You’re fluent in evals and error analysis, and you apply them in service of shipping something practitioners trust
  • You have real opinions on model selection, prompting, and orchestration tradeoffs, and you can defend them with evidence rather than vibes
  • Energized by 0→1 work: you’d rather define the problem than inherit a spec, and you don’t stall on ambiguity
  • Strong instincts for human-in-the-loop design
  • A genuine team player across the organization, not just within engineering: you’ll work daily with PM, design, domain experts, and customer-facing teams, and you treat that as the best part of the job
  • Ship fast without leaving a mess: your code is reviewable, tested where it counts, and instrumented
  • Able to internalize a hard domain fast. You don’t need to know SOX today, but you’ll understand it well enough to make the right product calls
  • Own a major agent area end-to-end, from how the agent reasons about a class of controls through to the artifact a reviewer signs
  • Set the evals and error-analysis practice for the team’s agent work, and decide what evidence justifies shipping a change or rolling it back
  • Collaborate with PMs and designers to shape roadmaps and define architectural tradeoffs, including where the agent acts and where the auditor decides
  • Own the harder model and orchestration judgment calls across a long multi-phase run
  • Mentor other engineers and raise the bar on 0→1 execution and applied eval rigor
  • Drive agent initiatives that reach beyond Internal Audit and influence how agents are built across Fieldguide
  • Set and champion engineering standards for agent reliability, reproducibility, and defensibility
  • Partner with engineering and product leadership to define long-term technical strategy for agentic audit work
  • Serve as a trusted advisor to leaders across Engineering, Product, and Design
  • Represent Fieldguide externally through writing, speaking, and open-source contributions

Benefits

  • Health
  • Dental
  • PTO
  • Applied AI skillset: evals, error analysis, and model-selection decisions you owned and can explain
  • Shipped LLM-backed product features to production against real users
  • Experience working directly with customers, and comfort being in the room when they use what you built
  • Comfortable full-stack, with enough backend depth to work in agent orchestration
  • A collaborative mode that works across PM, design, and domain experts
  • Autonomy working from an ambiguous spec
  • Structured-output work including schema contracts, generating real artifacts from model output
  • Python, TypeScript, React, Postgres, Hasura, GraphQL
  • Startup experience, as a founder or as an early engineer
  • Hands-on eval experience (Langfuse, Braintrust, LangSmith, Arize Phoenix, or comparable)
  • Temporal or comparable durable-execution / workflow orchestration
  • Background in internal audit, SOX, accounting, or another regulated domain
  • Document processing, including PDF and Excel manipulation and annotation
  • A 0→1 track record: things you started where no scaffolding existed

Skills

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