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Engineer in Residence, AI Regulatory Intelligence & Operations

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Mountain View, CA$10k/moContractPosted 11mo ago

About the role

Role to build an AI-native regulatory intelligence and operations system starting with an AI Fund and AES co-build. Focus on regulatory-source pipelines, obligation mapping, and an operations workspace with a trust layer for governance and auditability.

Responsibilities

  • Own the build across ingestion, retrieval, structured extraction, impact mapping, workflow orchestration, and deployment.
  • Work with AI Fund and domain users to define the first regulatory workflow, pilot scope, success metrics, and MVP cut line.
  • Design a system that keeps source evidence and uncertainty visible at every important decision point.
  • Build evals for change detection, obligation extraction, citations, missed requirements, and workflow completion.
  • Make infrastructure and security choices that support a fast pilot without blocking enterprise scale or auditability.

Qualifications

  • Strong full-stack or backend engineering across data pipelines, workflows, APIs, and enterprise systems.
  • Demonstrated experience building GenAI products with retrieval, structured extraction, tool use, evals, citations, and guardrails.
  • Experience with regulated data, compliance workflows, policy operations, risk systems, or other evidence-sensitive products.
  • Product judgment for systems where precision, provenance, access control, and human review determine trustworthiness of output.
  • Ability to use AI coding assistants and modern AI tools to accelerate implementation without weakening engineering judgment.
  • US work authorization. Visa sponsorship not available.

Skills

Required:Full-stack or backend engineeringGenAI product development

Benefits

  • Compensation is $10,000/month for 12 weeks (total $30,000).
  • Contract role during residency with potential founder-level role and meaningful equity upside if project funded.
Last updated Oct 21, 2026. Interested? Apply on the company site.

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