Founding Engineer
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Before you apply
SalaryNo pay range posted
LocationBurlingame, CA
Work modeon-site
Typefull-time
SeniorityLead
DepartmentEngineering
Company size11–50 people
PostedAug 19, 2026 · 2mo ago
Verified live13h ago
At a glanceSummarised by Seekless from the posting.
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.
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.
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.
Skills
TypeScript
React
Node.js
Python
LLM
Docker
Kubernetes
Azure
GCP
AWS
FHIR
HL7
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.