What you'll be doing
- Architect, design, and write the code that brings our internal AI technology to life as an external product. Strategize and plan for scale;
- Think through how to externalize our technology - making it reliable, scalable, and ready for market;
- Work hands-on in the early days. Set up the infrastructure, build features, and solve technical challenges as the first engineer on the team;
- Build a team of ML Engineers, Backends and Frontends in building robust, configurable AI systems that adapt to different healthcare contexts;
- Working closely with our core AI team to translate cutting-edge solutions into enterprise-ready implementations;
- Ensuring technical excellence across all deployments while maintaining healthcare compliance and safety standards.
What you need to have
- 5+ years of software engineering experience. You’ve built and scaled products;
- Strong track record leading teams, ideally in AI-powered and/or SaaS products;
- Strong technical expertise. You’re hands-on when needed, with deep experience in architecture, coding, and cloud infrastructure;
- Experience with AI-powered products. You understand the unique challenges of developing and scaling AI-driven solutions;
- Remarkable judgment and ability to deliver at a high pace;
- Good understanding of modern Tech/AI stack;
- Strong product sense and ability to influence technical product decisions.
What we would love to see
- Track record of successful large-scale AI deployments in healthcare;
- Familiarity with healthcare data systems and compliance requirements;
- Experience with conversational AI or similar interactive ML systems;
- Extensive experience with MLOps practices, ML system architecture and full;
- Contributions to open-source projects or a personal GitHub repository. You showcase your work and love to build beyond your day-to-day job.
0 applies
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