Visiting Engineer: Interlock AI

career • Mountain View, CA

15d • Onsite

About The Position

This role is to build an AI review assistant that flags inconsistencies, mismatched parameters, and checklist gaps across technical documents, making review teams faster and more systematic without replacing their judgment. The goal is to pressure-test the idea quickly and honestly with real users and customers. You will be building an AI Fund idea, not bringing your own startup idea into the program. The process typically includes a Builder Event or equivalent working conversation, then a 48-hour Builder Challenge, then panel review with AI Fund build leadership.

Requirements

• Strong engineering skills and hands-on experience with document AI, PDF extraction, cross-document reasoning, or review workflows.
• Comfort building systems for regulated or high-consequence environments where citations and traceability matter.
• Judgment about how to combine deterministic extraction, heuristics, and model-based reasoning without overpromising.
• The ability to build useful reviewer workflows instead of pure backend demos.
• Know how to use AI coding assistants and modern AI tools to move faster while keeping the evidence chain explicit.
• US work authorization.
• Candidates within commuting distance from Mountain View.

Nice To Haves

• Experience in AEC, utilities, legal tech, compliance tooling, or enterprise document review.
• Experience with scanned PDFs, table extraction, document citation systems, or audit trails.
• Founder or founding engineer experience in workflow-heavy B2B software.

Responsibilities

• Build an AI review assistant that flags inconsistencies, mismatched parameters, and checklist gaps across technical documents.
• Build a document ingestion and extraction pipeline that handles real engineering PDFs.
• Develop cross-document comparison logic that surfaces mismatches in parameters, assumptions, references, or checklist coverage.
• Create a reviewer-facing interface that ties every flag back to the exact page, section, table, or source snippet that triggered it.
• Develop a workflow that fits into how engineering review teams actually pressure-test projects.
• Own the product from document ingestion and structured extraction through discrepancy detection and reviewer experience.
• Make pragmatic choices about OCR, layout parsing, citations, confidence, and escalation paths.
• Focus the system on verifiable mismatches rather than overclaiming expert-level engineering conclusions.
• Work with domain experts to understand what kinds of misses are expensive and what evidence they need to trust a flag.
• Work with AI Fund's build team on wedge selection, technical scope, and the fastest path to real workflow value.

Benefits

• Compensation: $10,000/month for 12 weeks ($30,000 total).
• Contract role during the residency.
• If the build leads to a funded company, the next step is a founder-level role with meaningful equity upside.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed
• Number of Employees: 101-250 employees