Engineer in Residence, AI Regulatory Intelligence & Operations
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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