Applied AI Engineer

raydar; California; On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Health insurance coverage

Flexible time off

Job summary

Raydar is seeking a motivated engineer to design, build and train AI-driven systems that handle complex technical data, owning core services end-to-end as one of the first hires.

You will collaborate with customers and fellow engineers to ship dependable features into production, prototype quickly, test with real users and iterate often, while helping shape engineering culture and architecture.

Qualifications

• A university degree in a computing or machine learning field, or comparable hands-on experience.
• 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.

Responsibilities

• 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.

Skills

Python

ML libraries

LLM design

Information retrieval

Production ML systems

Customer experience

Education

Computing or ML degree

Job 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