
Founding Engineer
6 hours ago
Founding Engineer – Dawnbreak AI
Location: Bangalore (Hybrid)
Type: Full-time
About Us
Dawnbreak AI is a stealth-mode startup bringing automation to critical aspects of homecare fulfilment. We are building from first principles to solve one of healthcare’s most operationally complex and high-impact problems.
We’re looking for a Founding Engineer to join our early team — someone who thrives in ambiguity, codes with speed and precision, and wants to shape the technical foundation of a company from day one.
What You’ll Do
Build from Zero → One: Design, prototype, and ship core systems and features that power our platform.
Full-stack Ownership: Work across backend, frontend, and infrastructure to deliver end-to-end functionality.
AI Integration: Collaborate directly with the CEO to bring AI/GenAI models into production workflows.
Scalability & Reliability: Ensure systems are built for real-world, high-volume use in healthcare contexts.
Hands-on Delivery: Write production-grade code, review peers’ code, and iterate rapidly based on user feedback.
Stealth + Speed: Operate in a high-trust, low-bureaucracy environment where execution trumps hierarchy.
What We’re Looking For
4–6+ years of software engineering experience, ideally in a startup or fast-moving environment.
Strong skills in Python, FastAPI, React/Next.js, and cloud-native infrastructure (GCP).
Experience integrating or working alongside AI/ML systems.
Comfortable working across the stack — from APIs to databases to mobile/web apps.
Excited to solve unstructured problems and take ownership of major technical decisions.
Pragmatic builder: can balance writing clean code with moving fast.
Why Join Us
Join the earliest stage of a stealth healthtech startup as one of the first engineers.
Build technology that will fundamentally reshape how homecare is delivered and scaled.
Competitive compensation.
Work directly with the founders in a fast-moving, design-led culture where your work will have immediate impact.
Interested?
Apply via LinkedIn
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