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Raydar

Product Software Engineer

Posted Yesterday
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In-Office
San Francisco, CA, USA
180K-280K Annually
Mid level
In-Office
San Francisco, CA, USA
180K-280K Annually
Mid level
Build and launch AI-powered, full-stack software features that improve business metrics. Partner with sales, service, and underwriting teams to solve operational problems, develop agent systems across interfaces, services, data, and AI components, and support production systems through an on-call rotation. Work rapidly with LLM-based capabilities, cloud platforms, retrieval, and orchestration while explaining technical decisions to nontechnical stakeholders.
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About the company

Our client is a fast-growing insurance company.

The role

Raydar is recruiting for this role on behalf of our client. Own business metrics by building AI-powered software features across the full stack. Partner with non-technical teams to turn operational pain points into scalable solutions, working at a very fast pace and helping keep live systems healthy.

What you'll do

- Take ownership of one or more business metrics and drive measurable gains through new software features.

- Work directly with sales, service and underwriting colleagues to understand problems and design scalable fixes.

- Build and release AI agent systems and automation spanning user interfaces, services and data components.

- Support live production systems as part of an on-call rotation.

- Prototype, ship and iterate quickly, often within hours.


Requirements

What we're looking for

- 4+ years of software engineering experience.

- A track record of launching LLM-based or agent-driven capabilities that are used by real customers in a live environment.

- Daily hands-on use of AI-assisted coding tools.

- Ability to design agent-based architectures, including retrieval and LLM orchestration.

- Comfort delivering complete software solutions, from user interface through services to data and AI components.

- Working knowledge of a major cloud platform such as AWS or GCP.

- Ability to explain technical tradeoffs clearly to non-technical stakeholders and connect engineering work to business needs.

Bonus points

- Experience at a high-growth startup or a strong promotion track record at a fast-moving technology company.

- Background in speech-based AI, low-latency systems, retrieval-based approaches or agent frameworks.


Benefits

Compensation and benefits

- Base salary: USD 180,000 to 280,000 per year

- Equity

Location and work model

- San Francisco, CA, United States

- On-site, 5 days per week in office

- Full-time

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