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LinkedIndavid@raydar.xyz

AI Engineer

Fast-growing technology company

  • LocationSan Francisco, California
  • TypeFull-time
  • Posted20 October 2026

The role, as published

About the company

Our client is a fast-growing technology company.

The role

Raydar is recruiting for this role on behalf of our client. Own the design and delivery of a conversational AI agent that interacts with consumers at large scale, covering the full cycle from production monitoring through evaluation to iterative improvement. This is an early, high-ownership engineering position where the agent must be both scalable and safe in a regulated setting.

What you'll do

  • Coordinate multiple AI agents working together across many parallel programs.
  • Review production traces, spot problem scenarios in real conversations, and turn them into evaluation cases.
  • Use evaluation results to strengthen the core agent framework.
  • Connect external data sources so the agent can reach people at the right moments and respond quickly when new demand appears.
  • Scale language-model conversations across voice, text messaging and email while keeping them consistent and personalized.
  • Follow developments in agent tooling and research and fold the best ideas into the core software platform.

What we're looking for

  • A background as an engineer dedicated to agentic systems and large AI applications, for example as an agent engineer, applied AI engineer or startup founder.
  • Hands-on experience delivering conversational agents and the frameworks around them at scale, in text or voice.
  • Experience developing evaluation and tracing infrastructure for AI agents.
  • Bachelor's degree in computer science, mathematics or a related field.
  • A strong work ethic and the ability to get yourself unblocked.
  • Availability to work in person in the Bay Area and begin within about a month.

Bonus points

  • Time spent at an agent-focused startup or a leading AI research lab.
  • A track record shipping AI products or conversational experiences aimed at everyday users.
  • Interest in or prior exposure to health technology.

Location and work model

  • San Francisco Bay Area, CA, United States
  • On-site, 6 days per week in the office
  • Full-time

Compensation, as the posting describes it

  • Equity

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