Full Stack Engineer

Ember (YC F24); San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A technology startup in San Francisco is seeking a Software Engineer to lead the design and implementation of features across web applications. You will build evaluation infrastructure for AI healthcare finance applications while maintaining scalable and secure systems. Ideal candidates will possess a degree in Computer Science and proficiency in TypeScript, React, Node.js, and Python. This role requires teamwork and the ability to thrive in complex environments.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field.
• Experience with LLM applications and containerized deployments.
• Ability to thrive in complex and ambiguous environments.

Responsibilities

• Lead the design and implementation of features across web applications.
• Build internal evaluation infrastructure for AI and healthcare finance applications.
• Architect and maintain scalable, secure, and reliable systems.

Skills

TypeScript

React

Node.js

Python

Collaboration

Problem-solving in complex environments

Education

Bachelor's or Master’s degree in Computer Science

Tools

Docker

Kubernetes

Cloud platforms (Azure, GCP, AWS)

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 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, 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.