Software Engineer

TLDR You'll be hands-on in improving the real-world behavior of our AI systems — tracing and fixing runtime issues, building agent simulators, designing LLM evals and QA tools, and interfacing with client data. This is a role for builders who like prompt-level debugging, LLM system testing, and building infrastructure that improves our AI agents’ performance. About us: join the team making life-saving drugs accessible The crisis: Sarah delayed cancer treatment for weeks facing $30,000 monthly costs. Marcus's autoimmune condition worsened while battling insurance denials. Over 50% of critical prescriptions are abandoned due to: Cost barriers: Patients with high copays are 5x more likely to abandon treatment Insurance maze: Complex prior authorizations block access Logistical challenges: Coordinating medical visits for treatments Our solution: Neon's technology eliminates these obstacles by automating patient access workflows for pharma companies: —automating authorizations, streamlining benefits verification, and unlocking financial assistance. Join our mission: We want to live in a world where every patient can navigate the healthcare system with ease, especially when it matters most. Help us ensure that access to medicine is determined by clinical need—not bureaucracy or financial constraint. When Neon succeeds, patients access life-saving treatments without bankrupti [... source excerpt omitted ...] nterprises. Experienced founding team: Built by exited founders, YC & MIT alum, ex-Tesla, ex-Google engineers. Hypergrowth with stability: We went from initial idea to 7+ figure customer contracts in just 4 months—in an industry where sales cycles typically take 12-18 months. We are profitable and relentlessly focused on execution. Powerhouse backing: We’re funded by elite Silicon Valley VCs who've backed unicorns like DoorDash, Lyft, and Mammoth Biosciences. And strategic healthcare investors with deep industry connections. Outsized impact & opportunity: Work at the intersection of agentic AI, healthcare transformation, and life-changing patient outcomes. Career acceleratio [... source excerpt omitted ...] Engineer What You’ll Do You’ll work across our AI agent platform — writing prompts, debugging runtime issues, building agent simulation tooling, creating evals, interfacing with client data, and helping us monitor system behavior at scale. This is not a model training role — it's an applied systems position focused on behavior, infrastructure, and debugging real-world agents in production. You will be working at the forefront of agentic AI, where you’ll be pushing the boundaries of our agents’ capabilities. Some examples of what you might work on: Trace and fix runtime bugs, then write regression tests. Design evaluation datasets to simulate realistic workflows or red-te