Staff Ai Engineer

Job Description:

• Build 0-1 AI systems that transform core brokering workflows – from intelligent submission processing that auto-extracts data from 100+ page documents and routes complex commercial policies between AI agents and expert brokers, to autonomous AI that enables brokers to manage 1000+ client renewals simultaneously, owning the full stack from prototype to production.
• Embed directly with brokering teams, underwriters, and operations to identify automation opportunities, building solutions side-by-side with the people who use them daily. You'll be acting as an internal FDE, where you're both engineer and business strategist.
• Ship production-ready AI features that deliver measurable impact – reducing quote turnaround time by 80%, increasing broker capacity by 10x, and improving placement success rates through intelligent market matching and risk assessment.
• Establish rigorous evaluation frameworks for AI in regulated insurance contexts, implementing comprehensive testing pipelines, hallucination detection, and accuracy monitoring to ensure our AI systems meet both compliance requirements and performance targets.
• Drive rapid experimentation cycles using modern AI development practices, moving from concept to deployed solution in weeks while maintaining quality through automated testing and progressive rollout strategies.
• Develop the next generation of AI talent by mentoring engineers on production AI systems, sharing learnings from real-world deployments, and establishing best practices for building reliable AI in financial services.
• Pioneer the application of cutting-edge AI research to insurance challenges, from multi-agent systems for complex underwriting to advanced RAG architectures for policy knowledge management.
• Own the complete product development lifecycle for AI initiatives, from initial problem discovery and technical design through frontend interfaces that make AI capabilities intuitive for non-technical users.

Requirements:

• BS, MS or PhD in computer science, or related field, or equivalent work experience is required.
• 8+ years of experience in software engineering, machine learning, or AI/ML application development is required.
• Strong programming skills in Python.
• Experience with modern development and deployment practices (e.g., containerization, CI/CD).
• A track record of leading AI/ML projects.
• Passion for staying up-to-date with the latest advancements in AI/ML and applying them to real-world problems.
• Strong problem-solving skills and the ability to take a pragmatic and efficient approach to tackling challenges.
• Excellent collaboration and communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.

Benefits:

• a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave)