Job Details

We've raised $1.3M to build an AI-native platform that automates how regulated companies draft, verify, and manage corporate filings.

Today, billions of dollars of legal and compliance work are still done manually, across documents, spreadsheets, and email. We're building the system-level AI infrastructure to change that.

The Opportunity

This is a founding engineer role with a clear path to CTO.

You'll work directly with the founders to build the core product from 0→1, owning architecture, product direction, and key technical decisions from day one.

If you've ever wanted to:

• Build a system from scratch (not maintain one)
• Work on applied AI problems that actually matter
• Have real ownership over product and technical direction

This is that opportunity.

What We're Building

We're developing AI systems that can reason over complex, high-stakes workflows.

This includes:

• Multi-agent systems that collaborate to draft, verify, and analyze filings
• Retrieval systems that connect entities, disclosures, and historical data
• Feedback and learning loops to improve accuracy and reduce hallucination
• Deep integrations with systems like ERP, Microsoft 365, and equity platforms

The goal: produce outputs that are not just useful, but auditable and regulator-ready.

What You'll Do

• Design and build core product architecture from the ground up
• Develop systems that reason across structured and unstructured data
• Build retrieval and long-context systems for cross-document understanding
• Improve model accuracy, reliability, and consistency in real-world workflows
• Translate complex domain logic into scalable systems
• Ship quickly, iterate, and take full ownership of what you build

What We're Looking For

You might be a fit if you:

• Have experience building ML/AI systems (LLMs, retrieval, or similar)
• Are strong in Python and comfortable working across product + infrastructure
• Have built systems that require high reliability and accuracy
• Enjoy 0→1 environments and taking ownership of ambiguous problems
• Care about building things that actually get used in the real world

Nice to Have:

• Experience with multi-agent systems, retrieval-augmented generation, or similar architectures
• Familiarity with tools like LangGraph, PydanticAI, or custom orchestration frameworks
• Background in high-stakes domains (finance, legal, healthcare, etc.)
• Prior startup or founder experience
• Experience working with LLM evaluation, prompt design, or model optimization

Why Join

• Real ownership: you'll shape the product and technical direction from day one
• Path to CTO: this is a foundational role in building the company
• Applied AI at depth: not demos or wrappers, but real systems solving real problems
• Massive market: $400B+ in legal and compliance workflows still largely manual
• Small, high-caliber team: move fast, build with intention

We're early enough that every decision still matters, and funded enough to execute quickly.

How We Work

We value ownership, speed, and high-quality execution. You'll have the autonomy to do your best work and the responsibility to make what you build actually work.

If you're excited about building from first principles and want to play a foundational role in shaping a company, we'd love to talk.