Principal Engineer
dozee
Bay Area
Posted Jul 21, 2026
- Full-time
- Central Operations US
Job description
**Company Overview :**Dozee 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 models We’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, scale - **Architect — 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. T**his 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 own - **Own 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 for - **10+ 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 win - **Builder 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.