About the Role
Join a well-funded, AI-native insurtech startup reshaping how commercial insurance is bought and sold. This company is on a mission to move the industry from human-led to AI-led workflows — automating quoting, underwriting, and customer service at scale across a multi-trillion-dollar market. As a Member of Technical Staff, AI Engineer, you'll be a founding-tier engineer who designs and ships production AI systems from day one, while also prototyping the next generation of fully autonomous AI agents handling real, business-critical insurance operations.
This is a high-ownership, high-impact role at a small but rapidly growing team. You'll work closely with AI researchers and business stakeholders to turn cutting-edge research into reliable production systems.
What You'll Do
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Design and ship AI-native applications that automate core insurance workflows including quoting, underwriting, and customer service at scale.
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Ensure the reliability, observability, and scalability of AI services running in production.
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Architect and build distributed, scalable backend systems to support rapidly growing operations.
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Prototype and iterate on fully autonomous AI agents that handle end-to-end insurance operations with minimal human intervention.
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Collaborate with AI researchers to model and leverage contextual data to enhance agent capabilities and decision-making.
What We're Looking For
Required (Dealbreakers)
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2+ years of experience in software or AI engineering.
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Proficiency in Python for building production-grade AI applications, including model integration and tooling.
Required Skills
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Frontend experience with React.js to build or integrate UI components for AI-powered features.
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Hands-on experience with large language models (LLMs) and building autonomous AI agents or AI-native products.
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Experience with distributed data processing and streaming systems such as Kafka and Flink.
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Cloud platform experience with AWS (EC2, S3, Lambda, SageMaker) for deploying and scaling AI services.
Nice to Have
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Experience evaluating agent behavior, safety, and reliability in autonomous AI systems.
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Strong MLOps practices: monitoring, observability, and production ML lifecycle management.
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Strong CS fundamentals.
Compensation & Benefits
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Salary: $140,000 – $200,000 USD annually
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Visa sponsorship is available for this role.
Location
This is a full-time, on-site role based in San Francisco, CA, USA. Candidates should be prepared to work in-office. The team operates in a high-intensity, high-ownership environment — ideal for engineers who thrive with ambiguity and want to move fast on problems that matter.
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