Applied AI Engineer

Posted Yesterday
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San Francisco, CA, USA
In-Office
200K-250K Annually
Mid level
Professional Services • Consulting
The Role
Build and operate production AI systems that transform written briefs into interactive web assets and personalized multimedia content. Responsibilities include agent orchestration, model selection, automated quality evaluation, generative video pipelines, recommendation and ranking integration, performance feedback loops, backend infrastructure, reliability tooling, and technical architecture. The role requires taking language-model and autonomous-agent systems from development through dependable production deployment at scale.
Summary Generated by Built In

About the company

Our client is a fast-growing software company.

The role

Raydar is recruiting for this role on behalf of our client. Own the AI-driven systems that automatically create and refine content in a live production environment. The work covers model selection, agent orchestration and the backend infrastructure needed for dependable operation at scale, with the overall architecture still open to your influence.

What you'll do

- Build agents that convert a written brief into a working interactive web-based asset.

- Set up automated quality checks that catch faulty builds before a person has to.

- Develop pipelines that combine several media types to create short video content in varied formats and styles.

- Connect content generation to a recommendation and ranking system so output is tailored to each user.

- Analyze performance signals and feed them back to improve future output.

- Build orchestration, evaluation and reliability tooling so systems run dependably in production, not just in demos.

- Help define the technical approach and architecture as the system evolves.


Requirements

What we're looking for

- At least 4 years of relevant engineering experience.

- A track record of taking AI systems built on language models or autonomous agents all the way into production, with real engineering depth beyond calling a hosted service.

- Backend depth across infrastructure, data and serving, end to end.

- Familiarity with a major cloud platform and common data stores.

- Comfort with ambiguity and helping shape an undefined architecture.

- A bias toward shipping in a fast-moving early-stage environment.

- Work authorization for a role based in San Francisco.

Bonus points

- Game development experience.

- Experience with generative video.

- Advertising technology experience.

- Strong curiosity about AI-native products.


Benefits

Compensation and benefits

- Base salary: USD 200,000 to 250,000 per year

- Equity

Location and work model

- San Francisco, CA, United States

- On-site

- Full-time

Skills Required

  • At least 4 years of relevant engineering experience
  • Production experience with AI systems using language models or autonomous agents
  • Engineering depth beyond integrating hosted AI services
  • Backend experience across infrastructure, data, and serving
  • Familiarity with a major cloud platform and common data stores
  • Comfort working with ambiguity and shaping undefined architecture
  • Bias toward shipping in a fast-moving early-stage environment
  • Work authorization for a role based in San Francisco
  • Game development experience
  • Generative video experience
  • Advertising technology experience
  • Curiosity about AI-native products
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The Company
28 Employees
Year Founded: 2021

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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