Job description:
### **What You’ll Do**
* Lead the design and implementation of end-to-end features across our web applications and backend services.
* Build internal evaluation infrastructure for ML and LLM healthcare 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.
### **Qualifications**
* Currently pursuing a Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related technical field.
* Proficiency in TypeScript, React, [Node.js](http://node.js), and Python.
* 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.
* A willingness to pitch in wherever needed—we move fast, and we need team players who are eager to contribute.
### **Bonus**
* Hands-on work with LLM prompt engineering, finetuning, and RAG applications.
* Experience with workflow automations.
* Prior work in healthcare, clinical 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.