Applied AI Engineer
Description
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
As published by workable · 3 questions
Basics
First name, Last name, Email, Headline, Phone, Address, Photo, Education, Experience, Summary, Resume, Cover letter
Short answers (1)
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- Are you able to work onsite in San Francisco?