Applied AI Engineer

The Role

Raydar is recruiting for this role on behalf of our client. Design, build and train AI-driven systems that work with complex technical data, owning core services end-to-end as one of the first engineering hires. Collaborate with customers and fellow engineers to ship dependable features into production, prototyping quickly and iterating often.

What You'll Do

• Design and implement core workflows and supporting infrastructure for AI agents, including context handling and indexing approaches.
• Build agents and machine learning models that interpret, reason over and modify complex technical data.
• Integrate these systems with enterprise-grade tools and platforms.
• Partner with customers and engineers to deliver reliable, intuitive AI-powered features in production.
• Prototype quickly, test ideas with real users and release frequently.
• Help shape engineering culture, architecture decisions and product direction.

What We're Looking For

• A university degree in a computing or machine learning field, or comparable hands-on experience.
• Roughly 2 to 6 years of relevant experience, with openness to exceptional new graduates.
• Strong Python skills and experience with common machine learning libraries.
• A record of building production machine learning or AI systems.
• Solid understanding of large language model design and current agent research.
• Practical experience with search and information retrieval.
• Ability to move quickly from idea to production with real care for the customer experience.
• Curious, entrepreneurial mindset and a genuine interest in technology.
• Ability to work on-site in the Bay Area, with relocation welcome; remote will be considered for outstanding candidates.

Bonus Points

• Prior time spent on applied ML, backend or AI infrastructure work.
• Experience applying machine learning to geometric data.
• Track record of high-impact work or published research at leading AI teams.

Benefits

• Health insurance coverage

Location And Work Model

• San Francisco, CA, United States
• On-site
• Full-time

Compensation, As The Posting Describes It

• Flexible time off