Hiring.Camp

Principal Engineer

Dozee

·

Today

Location
Bay Area
Workplace
Onsite
Type
Full-time
Department
Central Operations US
Seniority
Lead
Source
Lever

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. 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 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.

Skills

FDAHIPAA

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