Founding AI Engineer
About The Position
The foundation of the modern global economy is built on a dense network of counterparty trust and risk. In the past 50 years, companies have evolved from relying on a couple of wholesalers and vendors, to utilizing 100+ SaaS vendors, contract partners, and cloud providers. Since each counterparty has their own idiosyncratic internal processes and risk profiles, businesses end up spending millions of dollars and countless man-hours conducting due diligence. Coverbase’s mission is to streamline this business-to-business assessment, reducing human toil, and allowing organizations to work together safely and reliably. We employ modern AI techniques to organize vast amounts of unstructured data and compare them against policies to identify key risks to the business. We already serve customers across Fortune 500 companies in insurance, higher education, and finance — including five of the top 25 banks in the US. Our proven leadership team brings deep experience: Clarence (CEO): Co-founder & former CTO of Unit21, a Series C fraud detection company that has raised ~$92M. Kao (CTO): Previously led the Stripe engineering team that launched Banking-as-a-Service. We’ve raised $20M from world-class investors and our team of 12 have built important products at Google, Mapbox and Waymo. Role Expectations We’re seeking an AI Engineer to develop core AI features that power an AI-native product. We’re looking for: Impact-driven individuals who take pride in shipping delightful products, not just exploring intellectually interesting problems. Teammates who care deeply about both their work and the people around them — building a culture that’s as kind as it is talented.
Requirements
- Experience developing LLM applications.
- Background in rigorous, quantitative work (e.g., PhD-level research, machine learning modeling, or advanced data science projects).
- Ability to thrive in a dynamic, early-stage startup environment. While AI is central, this is not a 100% AI role — versatility across the stack is important.
- High standards for code quality.
Responsibilities
- Build LLM features from ideation to production, including scaling.
- Develop benchmarks to evaluate LLM performance and mitigate hallucinations.
- Own the full development lifecycle, including infrastructure and front-end work around AI features.
- Foster a constructive environment through code reviews, mentoring, and knowledge sharing.
Benefits
- $140K – $220K base salary (depending on experience and ability)
- Meaningful founding team equity.
- Health insurance (100% employee / 80% dependents).
- 21 days PTO.
- In-person gatherings within the U.S. (travel covered) every 3-5 months. We’ll give plenty of notice for it, and cover flights and accommodation. We expect you to attend!
- 401(k) with 4% matching.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
