Founding AI Engineer

🇺🇸 New York City, New York
$175K - $300K Annual
Posted 6 months ago
Expires May 29, 2026
Full TimeOn-siteLegal TechEngineering

At August, we’re building AI designed for one thing: helping law firms practice better. Unlike tools built for the AmLaw 100, our focus is on midsized firms — where efficiency, client service, and competitive advantage matter most.

Our platform helps lawyers draft, review, and analyze documents at scale, turning what used to take hours into minutes. We’re trusted by forward-thinking firms across the U.S., Australia, and Asia, and backed by leading investors (NEA, Pear VC, Stanford Law) to grow globally.

We move quickly, learn directly from clients, and believe that AI is transforming the practice of law.

THE OPPORTUNITY

August is building AGI for law. Our agents mimic a lawyers’ reasoning, research, and drafting, and our workflows already outperform lawyers in third-party evaluations. We’re targeting mid-market law firms, automating their legal work and allowing them to provide our tools directly to their clients. Join August at an early stage as we scale our agents to process thousands of documents simultaneously and create outputs exceeding human-level accuracy.

As a Founding AI Engineer at August, you will design and scale production-grade agents that perform legal tasks with expert-level reasoning. You’ll work closely with the founders, legal experts, and product team to deploy AI systems in high-stakes workflows used by real lawyers across the globe.

WHAT YOU'LL DO

- Build and deploy agentic systems using Python to automate, evaluate, and scale end-to-end legal workflows

- Zero-to-one product development: rapidly prototype, evaluate, integrate, and test new product features in close partnership with our customers and legal team.

- Develop new AI native workflows: implement streaming, long-running tasks, procedural UX, etc. for new AI tasks, finding the balance between state-of-the-art and pragmatism.

ABOUT YOU

- 3+ years of experience building products on top of LLMs, either in grad school or in production environments; strong Python skills...

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