Founding Engineer

Ember AI Sdn Bhd; Burlingame (CA); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Hands-on LLM work and prompt tuning

Workflow automation experience

Healthcare/finance AI exposure

Open-source contributions encouraged

Job summary

Ember AI in Burlingame, CA seeks a senior 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.

You will architect scalable, secure systems that integrate with healthcare platforms and drive best practices in development, testing, and documentation.

Qualifications

• Must have degree in CS/SE or related field and strong coding background.
• Proficiency in TS, React, Node.js, and Python.
• Experience with LLM apps and containerized deployments.
• Comfort with ambiguity, teamwork, and fast-moving environments.

Responsibilities

• Lead design and implementation of end-to-end features across web apps and backend services.
• Build internal evaluation infrastructure for AI and LLM healthcare finance apps.
• Architect and maintain scalable, secure systems integrating with healthcare platforms.
• Promote software development best practices including code reviews, testing, and documentation.

Skills

TypeScript

React

Node.js

Python

LLM applications

Containerization

Cloud platforms (Azure/GCP/AWS)

Database systems

Education

Bachelor's or Master's degree in CS/SE

Tools

Docker

Kubernetes

FHIR/HL7 familiarity

SQL/NoSQL databases

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.