About this role
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
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Design and implement core workflows and supporting infrastructure for AI agents, including context handling and indexing approaches.
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Build agents and machine learning models that interpret, reason over and modify complex technical data.
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Integrate these systems with enterprise-grade tools and platforms.
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Partner with customers and engineers to deliver reliable, intuitive AI-powered features in production.
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Prototype quickly, test ideas with real users and release frequently.
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Help shape engineering culture, architecture decisions and product direction.
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Requirements
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What we're looking for
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A university degree in a computing or machine learning field, or comparable hands-on experience.
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Roughly 2 to 6 years of relevant experience, with openness to exceptional new graduates.
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Strong Python skills and experience with common machine learning libraries.
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A record of building production machine learning or AI systems.
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Solid understanding of large language model design and current agent research.
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Practical experience with search and information retrieval.
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Ability to move quickly from idea to production with real care for the customer experience.
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Curious, entrepreneurial mindset and a genuine interest in technology.
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Ability to work on-site in the Bay Area, with relocation welcome; remote will be considered for outstanding candidates.
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Bonus points
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Prior time spent on applied ML, backend or AI infrastructure work.
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Experience applying machine learning to geometric data.
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Track record of high-impact work or published research at leading AI teams.
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Benefits
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Compensation and benefits
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Base salary: USD 180,000 to 250,000 per year
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Health insurance coverage
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Flexible time off
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Location and work model
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San Francisco, CA, United States
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On-site
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Full-time