TurboLaw - Sr. Software Engineer, AI (Founding)
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Requirements
• You have 5+ years building production software, ideally at early-stage startups where you have a proven track record of shipping production-ready ML and LLM-based features. You care about craft, not just commits. • You see signal where others see noise: You can cut through the complexity of a legal document to find the technical path forward. • You are a builder: You are excited to create patterns from chaos, not just follow existing ones. • You think in agentic graphs: You understand that LLM systems are non-linear and you architect for that reality. • You are low ego and high speed: You stay calm when production breaks and you care more about the user's outcome than the elegance of your code. • (Bonus) You have exposure to legaltech, healthcare, biotech, or other regulated industries where precision matters. • We’re not just building AI for lawyers; we’re building an AI-native company. That means humans and AI collaborating across every function internally, and a bias toward automation over headcount. You’ll work alongside AI daily to write code, synthesize research, draft documentation, and move faster than teams twice our size. • We give direct feedback, we move quickly, and we trust people to own their work. There is no middle management here to provide detailed specs or hand-holding. If you need a lot of structure to be productive, this is not the right seat. If you thrive with autonomy and want to build the technical foundation of a company from the ground up, let's talk.
Benefits
• Ship Ideas Straight to Production: Your decisions move from whiteboard to a lawyer’s desk in hours, not weeks. • Debate Architecture with Peers: Work with founders and engineers who still write code and value technical truth over process. • Own the Standard: You aren't just joining a team; you are setting the bar for what "AI-native engineering" looks like. • Mission-Critical Work: Every workflow you automate moves fairness closer to people who cannot afford delays. • Competitive base + early-stage equity • Full health, dental, and vision coverage • Remote-first flexibility with optional in-person collaboration • Direct access to frontier models and the budget to experiment • The chance to define how AI and law work together before anyone else does
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