Member of Technical Staff, AI Engineer
Summary
Build and ship AI-native insurance systems that automate quoting, underwriting, and customer service using Python, LLMs, React, and AWS.
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
Design and ship AI-native applications that automate core insurance workflows including quoting, underwriting, and customer service at scale.
Ensure the reliability, observability, and scalability of AI services running in production.
Architect and build distributed, scalable backend systems to support rapidly growing operations.
Prototype and iterate on fully autonomous AI agents that handle end-to-end insurance operations with minimal human intervention.
Collaborate with AI researchers to model and leverage contextual data to enhance agent capabilities and decision-making.
What We're Looking For
Required (Dealbreakers)
2+ years of experience in software or AI engineering.
Proficiency in Python for building production-grade AI applications, including model integration and tooling.
Required Skills
Frontend experience with React.js to build or integrate UI components for AI-powered features.
Hands-on experience with large language models (LLMs) and building autonomous AI agents or AI-native products.
Experience with distributed data processing and streaming systems such as Kafka and Flink.
Cloud platform experience with AWS (EC2, S3, Lambda, SageMaker) for deploying and scaling AI services.
Nice to Have
Experience evaluating agent behavior, safety, and reliability in autonomous AI systems.
Strong MLOps practices: monitoring, observability, and production ML lifecycle management.
Strong CS fundamentals.
Compensation & Benefits
Salary: $140,000 – $200,000 USD annually
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.