About The Position

Complex litigation is the ultimate test of human cognition. We are building the AI that passes it. This is especially true in healthcare, where cases involve thousands of pages of medical records, conflicting timelines, and evidence requiring deep clinical context. Our platform does more than just organize data; it reads, reasons, and references across these massive corpora to produce audit-ready work in minutes. We are fundamentally redefining the mechanics of how the world’s top law firms win cases. We have moved past the initial experimental phase. With paying customers, a product in production, and a growing pipeline, we are ready to scale our vision. As our Founding Sr. Software Engineer, you will not just follow a roadmap; you will help draw it, architecting multi-node agents that plan, reason, and act across thousands of documents to drive better legal outcomes. This is real orchestration where you own the technical standards and influence every major architectural decision from zero. Because you are a founding hire, you carry the responsibility of setting the engineering culture for everyone who follows, shipping code that directly determines the success of real case work.

Requirements

  • 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.
  • Ability to cut through the complexity of a legal document to find the technical path forward.
  • Excited to create patterns from chaos, not just follow existing ones.
  • Understanding that LLM systems are non-linear and architecting for that reality.
  • Low ego and high speed: staying calm when production breaks and caring more about the user's outcome than the elegance of your code.
  • Ability to work alongside AI daily to write code, synthesize research, draft documentation, and move faster than teams twice our size.
  • Thrive with autonomy and want to build the technical foundation of a company from the ground up.

Nice To Haves

  • Exposure to legaltech, healthcare, biotech, or other regulated industries where precision matters.

Responsibilities

  • Designing and implementing sophisticated agentic workflows using frameworks like LangGraph to handle non-linear reasoning tasks.
  • Working directly with the founders and the Product Manager to determine product needs.
  • Moving fluidly across the stack: from backend Python services to React frontend surfaces.
  • Ensuring that the end-to-end experience for a lawyer is seamless and the reasoning behind every AI-generated claim is transparent and cited.
  • Shipping a production-grade reasoning loop that successfully handles complex clinical context without human intervention.
  • Establishing the core evaluation harness for retrieval accuracy that the rest of the engineering team will use for all future features.
  • Owning a major feature from discovery through to production that is actively used by a top-tier defense law firm on a live case.

Benefits

  • Strong base + meaningful 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
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