Ember Verified
Consumer Electronics, IoT, Health & Wellness
Full Stack Engineer
San Francisco, San Francisco, United StatesOnsiteFull Time$140,000–$180,000 /yrPosted 2 months agoHidden Gem · YC Startup
Role summary
Full Stack Engineer needed to lead the design and implementation of end-to-end features for web applications and backend services, focusing on building internal evaluation infrastructure for AI and LLM healthcare finance applications. The role requires architecting and maintaining scalable, secure, and reliable systems that integrate with various healthcare platforms, driving best practices in software development. Qualifications include proficiency in TypeScript, React, Node.js, and Python, with comfort in LLM applications and containerized deployments. Experience with prompt engineering, finetuning, RAG, workflow automation, cloud platforms, databases, and healthcare standards is a plus.
### **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 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.
### **Qualifications**
- 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, 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.
- Lead 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.
### **Qualifications**
- 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, 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.
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