AI Engineer

About the company Our client is a fast-growing software company. The role Raydar is recruiting for this role on behalf of our client. Own the machine learning layer of a production software product, covering model integration, data pipelines and the testing frameworks that confirm changes work. This is a hands-on engineering seat as one of the earliest engineers, with real influence over architecture and a focus on frequent releases to live users. What you'll do - Own AI features from design through deployment, including how models are instructed, how they pull in information and how they call other services. - Create automated evaluation tooling ahead of new releases so model changes are verified rather than assumed. - Bring response time and running costs down to levels that hold up under real production load. - Diagnose unclear product problems and determine whether the cause is the model, the data or the user experience, then resolve them. - Release to production weekly and monitor how changes behave in real use. - Make early architecture decisions that will shape the platform for years. Requirements What we're looking for - A computer science degree, ideally from a highly ranked institution. - Solid practical Python experience developing AI and ML services. - Experience creating LLM evaluation systems that successfully caught regressions. - A track record of launching AI-driven software to live users, beyond research prototypes or internal demos. - Experience at a company known for a rigorous engineering bar. - Experience working at a growth-stage startup. Bonus points - Contributions to the wider developer community, such as published work or personal projects. - Background in machine learning or model tuning. - Experience in commerce or marketplace environments. Benefits Compensation and benefits - Base salary: USD 150,000 to 250,000 per year - Equity Location and work model - San Francisco, CA, United States - On-site - Full-time