Principal Engineer

Principal EngineerDozee Health AI is the pioneer in Contactless Remote Patient Monitoring (RPM), proven to drive transformation at scale. Headquartered in Bengaluru, India, Dozee has emerged as India's no. 1 RPM Company. We are seeking visionary individuals to help us in this very exciting journey. As a part of our dynamic team, you'll have the opportunity to collaborate with top healthcare providers in the country, applying AI-powered RPM solutions to tackle some of the most pressing challenges in healthcare - enhancing staff efficiency, improving patient outcomes, and pioneering the next generation of care modelsWe're hiring a Principal Engineer in the Bay Area to lead the rebuild of the Dozee platform from the ground up using the latest AI technologies — defining the plan, writing the code, and building the small team that will run it.This is not a purely architectural role, and it is not a large-team management role. It is a builder's role for someone who wants to set the technical direction, own the roadmap, ship production code themselves, and grow a lean team of about two into the engine that carries Dozee's platform through years of growth — with very limited resources and no room for wasted motion.How the role works: architect, build, scaleArchitect — set the direction. Assess the current stack, define the target architecture for the rebuild, and turn strategy into a concrete, sequenced plan the team can execute.Build — write the code, not just the spec. This is a hands-on role. You write and review the core code yourself, especially in the early days, rather than delegating it away.Scale — make it last. Build a platform and a small team that can carry Dozee's growth for years, on lean resources, without re-architecting from scratch every stage.What you'll ownOwn the technical vision and roadmap — assess the current platform, define the target AI-native architecture, and set a sequenced plan the team can build against.Write and ship production code — be in the codebase daily as a hands-on principal engineer, not just producing design documents for others to build.Rebuild the platform around modern AI technologies — apply the latest AI and LLM tooling to the core platform architecture, not as a bolt-on feature but as a foundation.Build and lead a small, high-leverage team — start with a team of about two, hire deliberately as the platform grows, and set the technical bar and day-to-day ways of working.Make resourceful build-vs-buy calls — operate with limited resources, choose the highest-leverage technical bets, and avoid premature complexity.Design for scale from day one — build an architecture that can grow with Dozee's customer base, data volume, and clinical requirements over the long haul.Own platform reliability and quality — testing, monitoring, incident response, and the operational discipline that keeps a lean team sustainable.Partner cross-functionally — work closely with product, clinical, and go-to-market teams to translate business priorities into technical execution.Report progress and trade-offs to leadership — keep the Management and stakeholders informed on the roadmap, risks, and resourcing needs as the rebuild progresses.Experience we're looking for10+ years of software engineering experience, including senior, staff, or principal-level roles, ideally with a track record of leading a platform rebuild or greenfield build from scratch.Deep hands-on experience applying modern AI and LLM technologies to production systems, not just prototypes or proofs of concept.Experience architecting and scaling platforms in a resource-constrained environment — an early-stage startup, a small team, or similar.A track record of both writing code and leading or mentoring a small engineering team, comfortable doing both at once.Experience owning a system end to end, from architecture through deployment, monitoring, and iteration.Exposure to healthcare, medical devices, or other regulated, high-stakes production environments (FDA, HIPAA) is a plus.Skills that set you up to winBuilder mindset. You're comfortable building a platform from zero with limited resources rather than inheriting an established team and stack.Hands-on technical depth. You write and review code at a high bar — this role leads by doing, not just by directing.AI-native architect. You have deep fluency with the latest AI and LLM tooling and know how to embed it in a production platform, not just a demo.Pragmatic judgment. You choose the simplest architecture that scales and resist premature complexity or over-engineering.Long-term thinker. You design for the next several years of growth, not just the next sprint or the next customer.Lean-team leadership. You know how to get a small team — starting at two — punching well above its size.Ownership at founder speed. You move fast, make calls with incomplete information, and take responsibility for outcomes.Clear communicator. You translate deep technical trade-offs into terms leadership and non-technical stakeholders can act on.