Ember Verified
Consumer Electronics, IoT, Health & Wellness
Full Stack Engineering Intern (Summer 2026)
San Francisco, California, United StatesOnsiteInternshipJunior / Entry-level$6,000–$10,000 /yrPosted 2 months agoHidden Gem · YC Startup
Role summary
Seeking a Full Stack Engineering Intern for Summer 2026 to design, implement, and architect end-to-end features for web applications and backend services, focusing on ML and LLM healthcare applications. Responsibilities include building internal evaluation infrastructure, ensuring system scalability, security, and reliability, and integrating with healthcare platforms. Requires proficiency in TypeScript, React, Node.js, Python, LLM applications, and containerized deployments. Preferred qualifications include experience with databases, cloud platforms, healthcare standards, and specific LLM techniques like prompt engineering and RAG.
### **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.
* 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.