Member of Technical Staff, Applied AI

About the Company

A fast-growing AI platform used by in-house legal teams at leading companies, backed by a major recent funding round. The engineering team is currently under 20 people and is doubling in size this year, creating an opportunity to join a small, high-leverage team at an important stage of growth.

About the Role

This is a full-stack product engineering role focused on LLM orchestration, retrieval-augmented generation, model evaluation, and rapid prototyping. This is a shipping role, not a research seat. You'll take features from concept through production while helping shape the direction of a small, high-leverage Applied AI team.

What You'll Own

• Ship LLM orchestration features end to end, from concept through production

• Evaluate new model releases and integrate them into the product

• Build and maintain AI connectors, internal tooling, and prototyping frameworks

• Partner closely with subject-matter experts to translate domain expertise into product capabilities

• Review technical work and help maintain a high engineering bar across the Applied AI team

• Mentor other engineers and contribute to the team's technical direction
  
  

What We're Looking For

We're looking for unusually strong product engineers who have demonstrated real ownership in a smaller company or startup environment. Founders, founding engineers, or candidates with evidence of rapid progression or exceptional impact are particularly compelling. Experience at a smaller company matters more here than tenure at a large, established company.

• Deep, hands-on TypeScript and React experience. These should already be core strengths, not skills you're just beginning to develop

• Experience building AI products, chatbots, LLM integrations, or other production AI experiences

• Genuine, frequent use of modern AI tools and a strong understanding of how to build with them

• Strong product engineering instincts and a track record of shipping

• Comfort working in a small team where you will own significant pieces of the product

• A deep ML or research background alone is not enough for this role, we're looking for engineers who can turn AI capabilities into polished, production software
  
  

Bonus

• Founding engineer experience, particularly at a company with a successful exit

• Hands-on experience with RAG systems and multi-agent AI
  
  

Logistics
US/Canada, remote-friendly. Engineers near one of the company's two primary hubs work in-office Tuesday through Thursday, with regular engineering and company offsites. Compensation is $180K to $430K base plus equity. Visa: existing H-1B transfers are supported; new visa sponsorship is not available for this role.