ABOUT THE ROLE

You’ll work directly with hospitals and clinics to deploy and refine enterprise-grade systems. These include AI-driven patient communication and triage, agent orchestration systems, and secure healthcare data layers with low-latency voice and video.

This is a hands-on, Python-heavy role focused on solving high-impact problems in scale, distributed systems, and enterprise integration.

WHAT WE LOOK FOR

• Engineering experience
• Experience deploying and refining enterprise-grade systems.

ABOUT THE CANDIDATE

• Ideal Candidate Traits: Technical Mastery 5-10+ years building scalable systems, especially in AI/ML, backend, or full-stack (e.g., Python, Go, React, AWS). 
• Excels in production-grade code for high-stakes domains like healthcare or fintech . Hands-on with modern stacks: LLMs, agents, cloud infra—proven via shipped products at startups or scale-ups. 
• Problem-Solving Prowess Thrives on ambiguous challenges, architecting from scratch (e.g., core engines, APIs) while optimizing for speed/scale. 
• Track record of impact: Leading migrations, boosting performance 10x, or launching features that drive user growth. 
• Startup DNA Experience at fast-paced companies (e.g., seed-to-Series B), wearing multiple hats from dev to mentoring. 
• High-agency: Open-source contributor, self-starter who ships independently and elevates teams through guidance. 
• Cultural Fit
• Low-ego collaborator from EU, passionate about mission-driven work like accessible healthcare. 
• Bonus: Healthcare/ML exposure, English fluency, remote-ready with founder-level ownership mindset.