
Software Engineer, Agents (Internal Audit)
Fieldguide17 days ago
Base Salary
$170k - $300k/yr
Responsibilities
- Run error analysis on real testing data and turn findings into fixes that make agent judgment repeatable.
- Build structured-output pipelines that convert model output into audit artifacts.
- Make quality, latency, cost, model-selection, prompting, and orchestration tradeoffs across long multi-phase runs.
- Turn ambiguous problems into plans, shipped features, and clear decisions about scope.
- Work with subject-matter experts and design-partner firms to improve agents and expand coverage into new controls and internal-audit areas.
- At higher levels, own major agent areas, establish evaluation and reliability practices, mentor engineers, and influence technical strategy.
Requirements
- Must have shipped LLM-backed product features to production for real users.
- Must have applied AI experience with evaluations, error analysis, and model-selection decisions.
- Must be comfortable working full-stack with sufficient backend depth for agent orchestration.
- Must be able to work autonomously from ambiguous specifications and collaborate across PM, design, and domain experts.
- Preferred experience includes Python, TypeScript, React, Postgres, Hasura, GraphQL, Temporal or comparable workflow orchestration, and evaluation tools such as Langfuse, Braintrust, LangSmith, or Arize Phoenix.
- Preferred qualifications include structured-output and artifact-generation experience, startup or 0-to-1 experience, direct customer collaboration, regulated-domain knowledge such as internal audit or SOX, and document processing involving PDF and Excel.
Benefits
- Competitive compensation with equity.
- Comprehensive health and wellness benefits, including wellness benefits beginning on the first day.
- Flexible time off and work schedules.
- Technology reimbursements.
- 401(k) plan.
- Twice-yearly in-person offsites across the United States.
Tech Stack
Categories
About Fieldguide
Fieldguide builds an AI-native audit and advisory platform that automates engagement workflows, evidence collection, and compliance reporting for accounting and risk teams. The cloud software combines workflow automation, real-time collaboration, and agent-based AI to support standards across security, regulatory, and risk assessments, sold as subscription SaaS to firms. Founded in 2020 and headquartered in San Francisco, the company is privately held and serves many large audit and advisory practices.