Norm Ai embeds law into AI agents, powering critical legal and compliance workflows, and governing AI agents operating in regulated environments. Backed by Khosla.
About the role
Software Engineers at Norm typically align to one of two areas. Product engineers own the associate, partner, and operations-facing surfaces of our enterprise application: the workflows, UI, and AI-powered features that make the product indispensable to the Norm Law teams.
What they're looking for
- Bachelor’s or Master’s in computer science or an equivalent field, or equivalent practical experience
- 4+ years of experience writing application-layer Python for production use
- 2+ years of experience writing React + TypeScript, or similar, for production use
- Experience working with a Postgres database or similar
- Experience writing APIs using a framework such as FastAPI or similar for production use
- Interest or experience working with a complex AI-driven product (e.g. streamed outputs, dynamic agentic site navigation)
More about this role
About Norm Ai
Norm Ai, the agentic law company, has a client base with a combined $30 trillion in assets under management.
Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm’s proprietary suite of no-code software tools. Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world.
Norm Ai is also the technology behind Norm Law, LLP, a separate but affiliated AI-native law firm built for the era of agentic AI. Norm Law’s attorneys advise leading institutions across private funds, private equity, venture capital, real estate, registered funds, and financial regulation, using the same legal intelligence platform that powers Norm Ai’s products.
Norm Ai expects all team members to be fluent in AI. Successful candidates actively use AI in their day-to-day work to support thinking, creation, and problem-solving. They use it to improve the quality and speed of their work and to continuously refine how work gets done end-to-end.
Candidates should be prepared to demonstrate and discuss their AI usage throughout the interview process, including concrete examples of...
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