Full Stack Engineer

Ember AI; Burlingame (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Ember AI in Burlingame, CA is seeking a software engineer to lead the design and implementation of end-to-end features across web applications and backend services.

You will build internal evaluation infrastructure for AI and LLM healthcare finance applications, architect scalable, secure systems, and drive best practices in code reviews, testing, and documentation. The role emphasizes collaboration in complex settings and willingness to contribute wherever needed.

Qualifications

• Bachelor's or Masters degree in Computer Science, Software Engineering, or a related technical field.

Responsibilities

• 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.

Skills

TypeScript React Node.js Python

LLM applications

containerized deployments

team collaboration

ambiguous environments

Education

Bachelor's or Masters in CS/SE

Tools

Docker

Kubernetes

Cloud platforms (Azure GCP AWS)

Databases (SQL NoSQL)

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 Masters 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.