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
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