[Remote] Lead Applied AI Engineer

Note: The job is a remote job and is open to candidates in USA. Quility Insurance is an established Insurtech company focused on innovation and technology in the insurance sector. They are seeking a Lead Applied AI Engineer to build and ship AI MVPs that address real business problems, collaborating closely with data scientists and business leads to validate and iterate on prototypes.

Responsibilities

• Build and ship . You are the technical lead. You personally write, deploy, and iterate working software, not specs for others to build. You are practiced in using AI-native tooling (Cursor, Claude, Codex, Copilot) as a force multiplier, and you set the technical standard for your contract resource. You review their output at code depth, provide precise feedback, and translate ambiguous business hypotheses into granular, executable engineering prompts they can act on
• Integrate data science . Your data scientists wield statistics, ML, and SQL. They help with data ingestion. You're the connective tissue that builds the scaffolding that lets their models plug into real products, so their output ships instead of sitting in an unused dashboard. While software prototypes are the primary output, some MVPs may be analytical or BI-oriented, so you should be comfortable working across both modes
• Partner on product . You partner with the business lead on the end-to-end user feedback loop. You help conduct direct discovery interviews with opt-in agents and internal SMEs to validate whether a prototype is actually solving core friction. You help maintain the backlog, protect it from scope creep, and contribute to the team decision when a prototype isn't generating signal worth chasing
• Evaluate the opportunity . Before a project consumes capacity, you work with the business lead to rough out its financial impact: OPEX reduction, close rate improvement, projected headcount avoidance, etc. at a level of precision that makes prioritization defensible. You help screen the backlog so the right bets get resourced
• Develop the team . You manage two data scientists and are accountable for their output and growth. That means keeping them unblocked, pointing their skills at problems worth solving, and building their capacity to contribute to live prototypes, not just models

Skills

• Hands-on AI MVP builder
• Business-minded technical leader who builds and ships
• Experience shipping working MVPs using LLMs and AI-native tooling (Cursor, Claude, Codex)
• Experience managing data scientists
• Ability to evaluate whether an idea is worth building
• Experience conducting discovery interviews with agents and internal SMEs
• Ability to maintain the backlog and protect it from scope creep
• Experience in evaluating financial impact of projects
• Experience managing and developing a team
• Strong practitioner with a portfolio of work
• Ability to provide a link to personal work (live URL, portfolio, GitHub repo)
• Founded or been a founding engineer at an early-stage company
• Portfolio of apps developed with AI assistance
• Sourced, onboarded, and directed contract technical resources
• Operated inside a corporate innovation, venture studio, or embedded startup context
• Experience in insurance, fintech, or high-volume sales or distribution environments
• Experience with/knowledge of data science

Benefits

• Medical
• Dental
• Vision
• 401(k) match
• And much more!

Company Overview

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