This role is with one of Dex’s trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they’re looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.
The role
This company is pioneering value-based family building, bundling complex fertility treatments into fixed packages and absorbing the financial risk itself so patients do not pay in full without a successful outcome. Backed by leading global venture firms and partnering with hundreds of clinics across the US and UK, they operate an intricate multi-stakeholder ecosystem spanning patients, clinical networks, lenders, and insurers.
The work
- Architect and scale the core orchestration framework, designing state machines that automate care navigation, financial underwriting, and clinic operations across disparate external systems.
- Build and harden the real-time underwriting engine that models medical outcomes and accurately prices financial risk.
- Implement and deploy autonomous, LLM-powered operational agents that execute production workflows rather than passive chat interfaces.
- Bridge legacy clinical records, lending infrastructure, and insurance rails under strict HIPAA and SOC 2 compliance standards.
- Take ambiguous business and clinical requirements from concept to production, maintaining high velocity without compromising system reliability.
What You Bring
- At least 5 years of full-stack or backend-focused engineering experience in fast-moving startup environments, ideally with significant tenure taking products from zero to scale.
- Strong Python proficiency, with hands-on experience architecting complex state machines, asynchronous workflows, and integrations between incompatible external APIs.
- AI-augmented engineering is already central to your daily workflow—tools like Cursor, Claude Code, or Codex actively accelerate how you think and ship.
- Demonstrated experience engineering around strict safety, compliance, or regulatory boundaries, such as HIPAA, SOC 2, or PCI.
- A pragmatic bias for shipping: you choose simple, resilient architectures over clever over-engineering and can break down ambiguous product problems independently.
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