AI Engineer

Posted 12 Days Ago
San Francisco, CA, USA
In-Office
150K-220K Annually
Entry level
Professional Services • Consulting
The Role
Design and deliver scalable, safe conversational AI agents for regulated environments. Coordinate multiple agents, monitor production traces, create evaluation cases, improve agent frameworks, integrate external data sources, and support consistent conversations across voice, text, and email. The role requires hands-on experience shipping conversational agents and AI applications at scale, plus evaluation and tracing infrastructure experience.
Summary Generated by Built In

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 Required

  • Background as an engineer focused on agentic systems and large AI applications, such as an agent engineer, applied AI engineer, or startup founder
  • Hands-on experience delivering conversational agents and related frameworks 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
  • Strong work ethic and ability to work independently to resolve blockers
  • Availability to work in person in the San Francisco Bay Area
  • Availability to begin within approximately one month
  • Experience at an agent-focused startup or leading AI research lab
  • Track record of shipping AI products or conversational experiences for everyday users
  • Interest in or prior exposure to health technology
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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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