Engineering Lead, Verticalized AI

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🔥 2 minutes ago

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

💵 $220k - $270k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 0%

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Chariot Claims

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

⚖️ Legal

☁️ SaaS

👥 B2C

Legal • SaaS • B2C

Chariot Claims is a consumer-focused legal-services platform that helps everyday people discover and pursue compensation from corporations that violated their rights (e. g. , data breaches, hidden fees, junk charges). The company searches for claims users may qualify for, assists with filing at no upfront cost, handles paperwork, connects users with vetted law firms, provides in-app case tracking and customer support, and only collects fees if users are paid. Chariot emphasizes transparent processes, secured payouts, and partnerships with law firms and claims administrators. It markets to individual claimants and highlights results, user counts, estimated recoveries, and Series A funding.

📋 Description

• Own agent systems that source and assemble cases, with human-in-the-loop review • Own systems that match people to claims they are owed from explicitly permissioned sources • Build evaluation and quality infrastructure for measurable, reliable production agent behavior • Own AI cost and performance at scale • Contribute to shared platform foundations, internal tooling, MCPs, and agent harnesses • Recruit, vet, and grow fullstack and ML engineers • Build with coding harnesses and agents in the loop daily • Make autonomous product decisions and defend them with evidence • Run the vertical as an owner while collaborating across the company

🎯 Requirements

• Experience building and shipping production software at staff-level technical scope • Track record of shipping products end-to-end and owning outcomes • Strong product instincts and bias toward action • Early-stage experience (Series A or earlier) • Experience building and growing a team, or clearly ready to do so • Bonus: experience taking LLM agent systems to production, including human-in-the-loop review and evaluation • Comfort owning both the ML and product surface around LLM agent systems • Experience with Python and Go • Experience with modern LLM / agent tooling • Experience with AWS • Bonus: experience in a regulated industry such as legal, healthcare, or finance

🏖️ Benefits

• Equity • Benefits package • 2-4 off-sites per year in beautiful, cultural destinations • Expenses covered for you and a +1

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