About this role
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
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Take ownership of one or more business metrics and drive measurable gains through new software features.
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Work directly with sales, service and underwriting colleagues to understand problems and design scalable fixes.
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Build and release AI agent systems and automation spanning user interfaces, services and data components.
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Support live production systems as part of an on-call rotation.
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Prototype, ship and iterate quickly, often within hours.
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Requirements
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What we're looking for
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4+ years of software engineering experience.
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A track record of launching LLM-based or agent-driven capabilities that are used by real customers in a live environment.
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Daily hands-on use of AI-assisted coding tools.
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Ability to design agent-based architectures, including retrieval and LLM orchestration.
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Comfort delivering complete software solutions, from user interface through services to data and AI components.
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Working knowledge of a major cloud platform such as AWS or GCP.
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Ability to explain technical tradeoffs clearly to non-technical stakeholders and connect engineering work to business needs.
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Bonus points
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Experience at a high-growth startup or a strong promotion track record at a fast-moving technology company.
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Background in speech-based AI, low-latency systems, retrieval-based approaches or agent frameworks.
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Benefits
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Compensation and benefits
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Base salary: USD 180,000 to 280,000 per year
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Equity
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Location and work model
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San Francisco, CA, United States
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On-site, 5 days per week in office
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Full-time