Senior Software Engineer | Founding Team

*This role is based in-person in the greater Seattle area*Contract role | Approx. $170-190K annualized | Partially client-facing About Snowdrop Snowdrop helps patients access life-changing medications faster and at lower cost. We meet patients as they face one of the highest-stakes financial decisions of their lives, most often at a time when they are most vulnerable. We're hiring one additional senior engineer to build this platform with us. Given the size of the team, each hire carries the responsibility of a founding engineer. You will own entire verticals of the product, make architectural calls that we live with for years, and ship code impacts real patients at scale. We're looking for engineers who build with LLMs the way previous generations built with databases, as a first-class architectural primitive, not a bolt-on. What You'll OwnYou won't be handed tickets. You'll own problem spaces end-to-end. That looks like: Designing and shipping the AI agents that run patient case lifecycle — application intake, document extraction, data validation, coverage verification, patient communication, missing-info follow-up — including the evaluation harness, confidence thresholds, and human-in-the-loop boundariesPHI-aware data architecture: de-identification pipeline that strips identifiers before inference, the tokenization layer that maps results back, and the audit trail that logs every model call Integrations with healthcare systems of record and dependent services – as well as the orchestration layer that coordinates across them The production bar: on-call, incident response, rollback strategy, and strict uptime SLAsWorking directly with operations, IT, and clinical teams during discovery, UAT, and go-live — you'll be in the room, not behind a PMWhat We're Looking For 5+ years shipping production software, with meaningful time owning backend systems that mattered when they broke Deep expertise in at least one modern backend language (Python, TypeScript, Kotlin, Go, or similar) and the judgment to know when the choice matters and when it doesn't - we're still finalizing our stack, and you'll help decide Comfort across the full backend picture: relational databases, cloud infrastructure (AWS preferred), containerized services, API design, and the operational discipline that comes with running regulated software A real sense for UX, you care how the thing feels to use, not just whether it works. You've sat with users, sweated the details, and pushed back on designs that looked good but didn't hold up in the workflow. Formal design training isn't required, but familiarity with Figma, design language, or having partnered closely with designers is a plus You've built something real with LLMs, orchestration, retrieval, tool use, structured output, evals, handling model failure modes. You have informed opinions about when to reach for an agent vs. a pipeline vs. a plain function, and you can defend them Track record of taking an ambiguous problem, shaping it into an architecture, and shipping itYou treat model behavior as something to test, measure, and govern. You've thought about what "evals" means for a system where being 95% right isn't good enough