Engineer in Residence: Syntra

What You'll Build

• Design the document processing pipeline for handling the full diversity of enterprise contract formats.
• Build extraction models that identify and classify contract clauses with precision high enough for legal teams to trust.
• Develop a risk assessment framework that compares incoming contracts against company playbooks and approved clause libraries.
• Implement a review workflow that integrates with existing legal tools (CLMs, matter management systems, email).
• Work with in-house legal design partners to validate accuracy and build trust in AI-assisted contract review.

What You'll Do

Design the document processing pipeline for handling the full diversity of enterprise contract formats.

Build extraction models that identify and classify contract clauses with precision high enough for legal teams to trust.

Develop a risk assessment framework that compares incoming contracts against company playbooks and approved clause libraries.

Implement a review workflow that integrates with existing legal tools (CLMs, matter management systems, email).

Work with in-house legal design partners to validate accuracy and build trust in AI-assisted contract review.

What You Need

• Strong full-stack or backend engineering skills.
• You have built and shipped production systems that process complex documents.
• Experience with document processing, NLP, or information extraction from unstructured text.
• Hands-on experience building with LLMs, particularly for structured data extraction, classification, or reasoning tasks.
• Ability to build systems where precision matters.
• Legal teams need to trust the output, so false positive management is critical.
• Ability to work autonomously and make product and architecture decisions without waiting for direction.

Helpful But Not Required

• Experience in legal tech, compliance tech, or regulated industry software.
• Familiarity with contract lifecycle management (CLM) tools or legal workflow systems.
• Background in document AI, OCR, or PDF processing pipelines.
• Founder or founding engineer experience building for knowledge worker workflows.

Who This Is For

A builder who sees legal operations as a high-value, underserved vertical for applied AI. Someone who understands that the hardest part is not extraction but precision: legal teams will not use a tool that makes mistakes on important clauses.

What To Know

• This is a 12-week, full-time, on-site residency in Mountain View, California.
• 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 compensation is intentionally modest during the residency because the upside, if the idea works, is a founder-level role.
• Compensation $10,000/month for 12 weeks ($30,000 total).
• This is a 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.
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.
• These tools assist our recruitment team but do not replace human judgment.
• Final hiring decisions are ultimately made by humans.
• If you would like more information about how your data is processed, please contact us.