Principal Engineer

Company Overview :Dozee Health AI is the pioneer in Contactless Remote Patient Monitoring (RPM), proven to drive transformation dquartered 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 will run it.

• 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. 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.

• 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.

• 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…