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
Similar Jobs
.png)
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
