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