AI Engineer
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.
Requirements
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.
Benefits
Compensation and benefits
- Base salary: USD 150,000 to 220,000 per year
- Equity
Location and work model
- San Francisco Bay Area, CA, United States
- On-site, 6 days per week in the office
- 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)
- Public LinkedIn profile URL (https://www.linkedin.com/in/...)
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- Will you require work authorization of any kind?
- Are you able to work onsite in San Francisco Bay Area?