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
Skills Required
- University degree in computing or machine learning, or comparable hands-on experience
- Approximately 2 to 6 years of relevant experience; exceptional new graduates may be considered
- Strong Python skills
- Experience with common machine learning libraries
- Experience building production machine learning or AI systems
- Understanding of large language model design and current agent research
- Practical experience with search and information retrieval
- Ability to work on-site in the Bay Area, with relocation welcome; remote considered for outstanding candidates
- Prior applied machine learning, backend, or AI infrastructure experience
- Experience applying machine learning to geometric data
- High-impact work or published research at leading AI teams
What We Do
Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.
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