QuoteWell is building a modern commercial insurance brokerage by combining technology with deep domain expertise. A key part of our vision is an AI assistant powered by emerging LLM techniques that helps brokers anticipate and automate tasks, making their workflows faster, smarter, and more intuitive.

We’re looking for an experienced engineer who wants to shape not just our technology, but also our product direction and business outcomes.

What You’ll Do

• Build impactful products: Own and deliver features in our all-TypeScript stack (React + Node).
• Shape product direction: Partner with Product, Design, and Data to define problems, break them down into incremental solutions, and validate with users.
• Leverage AI in practice: Deliver innovative AI-driven agentic solutions for our insurance experts, designed for a future MCP-driven world.
• Model complex data: Represent insurance data and relationships in intuitive, user-friendly tools that improve decision-making.
• Collaborate and grow: Work in a remote-first, flexible, and accountable engineering culture while learning from teammates (and maybe a bit about insurance too).

What You’ll Bring

• Technical depth: Strong experience with TypeScript, React, and Node (or a very similar stack), and a history of shipping production code.
• Product impact: A track record of influencing product and business direction through engineering insights.
• AI curiosity: Familiarity with or interest in applied AI/LLM techniques and how they can power real products.
• Collaborative skills: Ability to work across the full product lifecycle, specifying features, testing, iterating, and validating with users.
• Generalist mindset: Willingness to learn new technologies and adapt to what the business needs most.
• Flexibility to connect in person: Willingness to travel occasionally to Austin or team offsites..

Location: Remote. Our primary hub is located in Austin, TX, and we have remote employees across the United States. We offer flexible co-working arrangements.

We are a remote-first team, with employees distributed across the U.S. We gather quarterly for co-location sessions (about four days each)