Member of Technical Staff, AI Engineer

Department: Engineering

Location: San Francisco

Employment Type: FullTime

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.