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Founding Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Truvo
Full Time position
Listed on 2026-05-10
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: New York

At Truvo, we are building a fully autonomous consumer insurance broker — saving the average household hundreds of dollars on insurance while better protecting people for the worst moments in their lives. We are rewiring a trillion-dollar industry that still runs on phone calls, fax machines, and legacy carrier systems. We raised our pre-seed, built a best-in-class AI-native broker platform with AI agents that quote, bind, and service policies autonomously, and are building out an exceptional team.

We are looking for a Member of Technical Staff to go deep on AI agents and models — working on messy, high-impact problems that most people would walk away from, shipping from day one, and owning what you build end to end.

Your Day to Day at Truvo
  • Deep Interactions: Sitting with our insurance team and building AI agents to automate workflows and building models to deeply understand insurance carrier appetite

  • API Integration: Constructing deep API integrations into insurance carriers

  • Shipping from Day One: Deploying to production and moving extremely quickly, while taking full responsibility for your projects

Requirements
  • Problem Solver: You love working on messy, high-impact problems that most people would walk away from

  • Builder and Owner: You take ideas from zero to one quickly. You thrive in ambiguity, figure things out, and ship

  • Applied AI: Hands-on experience with LLMs and agents — building, fine-tuning, or deploying them in production

  • Systems Thinker: Comfortable with integrations, APIs, and workflow automation. Insurance runs on legacy rails — you will help us rewire them

  • Scrappy Engineer: Strong software engineering background. Experience building production‑grade systems, not just prototypes

  • Nice to Have: Exposure to fintech/insurtech, RAG, embeddings, semantic search, or workflow automation

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