# Applied AI Engineer

> Raydar · San Francisco, United States · Full-time · Posted 2026-10-01

**Salary:** USD 180,000–250,000

**Workplace:** on_site

## 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

## Apply

[Apply at Raydar](https://apply.workable.com/raydar/j/A876C6B170/apply)

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