About the job
About Coverbase
Coverbase is redefining the landscape of business assessments by leveraging cutting-edge AI technology. Our goal is to enhance the trust and risk dynamics within the global economy, which has evolved from a reliance on a few suppliers to a complex web of over 100 SaaS providers and partners. In this environment, companies waste extensive resources on due diligence due to varying internal processes and risk assessments.
Our mission is to simplify and streamline these assessments, enabling organizations to collaborate efficiently and safely. We utilize advanced AI methods to organize and analyze vast amounts of unstructured data against established policies to pinpoint potential business risks.
We proudly serve numerous Fortune 500 clients across sectors such as insurance, education, and finance, including five of the top 25 banks in the US.
Our leadership team consists of seasoned professionals:
Clarence (CEO): Co-founder and former CTO of Unit21, a Series C fraud detection firm that has raised around $92 million.
Kao (CTO): Formerly led the engineering team at Stripe that launched Banking-as-a-Service.
Having secured $20 million from top-tier investors, our team of 20 members includes experts who have developed impactful products at Google, Mapbox, and Waymo.
Role Expectations
We are on the lookout for a passionate AI Engineer to create and enhance core AI functionalities that drive our innovative product. The ideal candidate will be:
Motivated individuals who are committed to delivering exceptional products rather than merely engaging in theoretical exploration.
Team players who are dedicated to their work and to fostering a supportive and talented culture.
Responsibilities
You will be responsible for the following tasks:
Developing LLM features from concept to production, including scalability considerations.
Creating benchmarks to assess LLM performance and reduce inaccuracies.
Overseeing the entire development lifecycle, including both infrastructure and front-end work related to AI features.
Cultivating a positive environment through code reviews, mentoring, and knowledge sharing.
Minimum Requirements
- Experience in AI/ML development.
- Proficiency in programming languages such as Python or Java.

