We are looking for a Senior Backend Engineer (Python) to join a purpose-driven team on a mission to transform healthcare through AI. You’ll play a key role in building the backend foundation of our AI-powered product that helps reduce EHR inbox overload — one of the most pressing pain points in the healthcare industry.
You’ll work closely with data scientists, product managers, and fellow engineers to build scalable infrastructure for our large language model (LLM)-driven systems. This role offers strong ownership, autonomy, and a chance to make a real-world impact in a fast-moving startup environment.
Responsibilities
- Design, develop, and maintain scalable server-side applications
- Build and optimize infrastructure to support AI models and data-intensive processes
- Collaborate with data scientists and product teams to understand system needs and deliver scalable solutions
- Architect and manage backend databases for high-performance and reliability
- Take ownership of backend projects — from design to deployment
- Contribute to system architecture, problem-solving, and product delivery
Requirements
- 5+ years of professional experience in backend development with Python
- Strong understanding of OOP, software architecture, and system design
- Hands-on experience building server-side applications and managing databases
- Proficiency in data structures, algorithms, and backend performance optimization
- Experience with version control systems and agile development processes
- Excellent communication and collaboration skills
- Bachelor’s or Master’s degree in Computer Science or a related field
Will be a plus
- Experience with cloud computing, AI technologies, or healthcare systems
What we offer
- Competitive salary and benefits package
- Medical insurance
- Hybrid set of works
- Collaborative and innovative work environment
- Career growth and development opportunities
- A chance to work with a talented and driven team of professional
About the project
Our client is reshaping digital healthcare with a cutting-edge AI platform that integrates directly into Electronic Health Record (EHR) systems. The solution automates core clinical workflows: prescription refills, lab result reviews, patient messages by surfacing relevant data and suggested actions in real time.
It leverages ML models trained on tens of millions of medical cases to optimize decision support and minimize manual input. The system is engineered for seamless interoperability, ensuring minimal disruption to clinical environments. Backed by $25M in funding, the team is composed of engineers with backgrounds in AI, data infrastructure, and healthTech scalability.
