Founding Engineer

At Ember, we’re building the future of healthcare finance.

Behind every provider is a mountain of administrative complexity and these inefficiencies directly impact care, cost, and outcomes. At Ember, we’re simplifying the back office of healthcare through intelligent automation, helping providers focus on what matters most: their patients.

We're reimagining how revenue flows through healthcare, and how teams can scale efficiently without sacrificing quality. Our platform integrates seamlessly into provider workflows, reducing the burden of manual tasks and unlocking real-time visibility into financial and operational performance.

As we grow, we’re looking for passionate, curious people to join us. Right now, that starts with you.

What we’re building

Behind every healthcare provider is a mountain of admin that gets in the way of getting paid for the care they deliver.

Ember AI is building advanced agents to take that work off their plate, and help healthcare providers get paid for the care they deliver, without all the admin. We’re growing very fast, at 200% month on month, which is why we need you!

We’re backed by YC, Nexus Venture Partners and already working with physician groups and healthcare systems across the US.

A bit about the founders: Charlene, was a Product Lead at Google focusing on Healthcare AI, and Warren an MIT AI researcher with experience at NVIDIA and MIT CSAIL.

What You’ll Do

• Own the design and implementation of end-to-end features across our web applications and backend services.
• Build internal evaluation infrastructure for AI and LLM healthcare finance applications.
• Architect and maintain scalable, secure, and reliable systems that integrate with various healthcare platforms.
• Drive best practices in software development, including code reviews, testing, and documentation.

About You

• Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related technical field.
• Proficiency in TypeScript, React, Node.js.
• Comfortable with LLM applications and containerized deployments.
• Thrives in environments of complexity and ambiguity, prioritizing collaboration and seeking the best ideas regardless of their source.
• Excited about wearing multiple hats. We move fast, and we need team players who are eager to contribute.

Nice to haves

• Hands-on work with LLM prompt engineering, finetuning, and RAG applications.
• Experience with workflow automations.
• Prior work in healthcare, finance AI, or other regulated, high-stakes industries.
• Open-source contributions to ML libraries, evaluation suites, or benchmarking tools.
• Experience with cloud platforms (e.g., Azure, GCP, AWS) and containerization technologies (e.g., Docker, Kubernetes).
• Strong understanding of database systems, both relational and non-relational.
• Familiarity with healthcare standards such as FHIR, HL7, and medical coding.