Applied 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. 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. Requirements 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 Compensation and benefits - Base salary: USD 180,000 to 250,000 per year - Health insurance coverage - Flexible time off Location and work model - San Francisco, CA, United States - On-site - Full-time