Founding Engineer

This role is remote anywhere in the US. The team works across Pacific and Eastern time, and Pacific time hours are preferred.

We are helping an early stage, venture backed AI company hire founding engineers. The company builds AI agents that take slow, repetitive document work off the plates of large professional services firms, so reviewers can spend their time on judgment.

Its core engine reads long, messy source documents end to end, pulls out the data, and puts it into the firm’s existing workpapers and filing tools. Customer data stays in the United States, is not used to train underlying models, and is not sold or shared. Reviewers can see the sources and the changes.

The company is already profitable, sells to large enterprise customers, and has grown revenue quickly since launch. It has also won competitive evaluations against better funded companies. The team is small, with only a handful of engineers, and works closely with second time founders. You would join early enough to help ship the next major version of the product and then help build new products in related workflows. Founding team equity is a real part of the offer because the team is still lean.

What you will do

• Build the core platform as a generalist, mostly back end with some front end work.
• Make back end architecture decisions on your own, working closely with the founders and engineering leadership.
• Design and build the document extraction and large language model agent pipelines at the center of the product.
• Help ship the next major version of the product, and then help build new products in related workflows.
• Own features from design to production, including how they perform and how they fail in production.
• Turn what customers tell the team into product, often from loosely defined problems.
• Set early engineering practices, tooling and standards that the team will build on as it grows.
• Move with urgency on a small team where everyone owns a lot.

Professional Services, Artificial Intelligence (AI) Agents, Artificial Intelligence (AI), Sales, Customer/Client Research, Training/Teaching, Competitive Analysis/Strategy, Product Development, Enterprise Sales, User Interface/Experience (UI/UX), * 2 to 6 years as a software engineer, as a hands on individual contributor.

• Zero to one experience at an early stage, venture backed startup (seed through Series B, or a Y Combinator company), or time as a founding engineer.
• Proficiency in Python and TypeScript.
• Back end architecture decisions you owned, on classic back end systems with large language model features on top.
• Large language model or agent based features you shipped to production.
• Features you owned from design to production.
• A computer science or related technical degree from a top 50 US university. Please include your GPA.
• US citizenship or permanent residency. This role cannot support visa sponsorship.
• A builder mindset with high ownership and urgency.

Nice to have

• Experience with document extraction or data pipelines at scale.
• Side projects or other zero to one work.

• This search is not for machine learning research or data science heavy profiles without back end systems depth.
• This search is not for long tenures at large tech companies or slow moving enterprises.
• This search is not for staff, CTO or manager level profiles with 8 or more years of experience.