Staff AI Engineer

Posted 10 Hours Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
250K-300K Annually
Senior level
Professional Services • Consulting
The Role
Lead the end-to-end development of production AI capabilities, including LLM-powered agents, personalized guidance, tool integrations, and structured outputs. Prototype, evaluate, launch, monitor, and improve features while maintaining quality, safety, reliability, speed, and cost efficiency. Build and operate Python services, collaborate with product and engineering teams, and contribute effectively in a fast-moving startup environment.
Summary Generated by Built In

About the company

Our client is a wellness and fitness company.

The role

Raydar is recruiting for this role on behalf of our client. Lead the design and delivery of production AI capabilities for a consumer product, owning each feature from first prototype through release and continued refinement. The role suits a self-directed engineer who thrives in a rapidly changing, early-stage setting and partners with cross-functional colleagues.

What you'll do

- Build and ship LLM-powered agents that call external tools, return structured results and stream responses to users.

- Develop AI-driven features that deliver personalized guidance, with a person always reviewing the output.

- Own each capability end to end: prototype, assess it against quality and safety standards, release it, watch its behavior in production and keep improving it.

- Raise reliability and speed while lowering cost through caching, token management, retry handling and monitoring.

- Create the integrations and supporting utilities that agents depend on, with validated inputs and outputs.

- Work side by side with product, design, mobile and server-side colleagues.


Requirements

What we're looking for

- Track record at Staff Engineer level or higher.

- Hands-on experience operating large language models in live products, including prompt design, tool use, formatted outputs and quality assessment.

- Familiarity with frameworks for orchestrating AI agents.

- Proven history of shipping and running Python services in production.

- Time spent in a fast-moving startup, or as a founder, including ventures that did not succeed.

- High energy and a strong drive to take action.

- Comfort with candid, real-time feedback in both directions.

- Ability to work remotely during US time zones.

Bonus points

- Prior experience at a large technology company or a late-stage startup before joining smaller companies.

- Working knowledge of asynchronous programming and real-time data delivery over web APIs.

- Background in health technology.

- Based in San Francisco, CA.


Benefits

Compensation and benefits

- Base salary: USD 250,000 to 300,000 per year

- Equity

Location and work model

- Remote (US)

- Full-time

Skills Required

  • Staff Engineer-level experience or higher
  • Hands-on experience operating large language models in live products
  • Experience with prompt design, tool use, formatted outputs, and quality assessment
  • Familiarity with AI agent orchestration frameworks
  • Proven experience shipping and operating Python services in production
  • Experience working in a fast-moving startup or as a founder
  • Ability to work remotely during US time zones
  • Experience at a large technology company or late-stage startup
  • Working knowledge of asynchronous programming and real-time data delivery over web APIs
  • Background in health technology
  • Based in San Francisco, California
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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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