Member of Technical Staff
About The Position
We’re representing a fast-growing AI healthcare infrastructure startup transforming clinical administration through intelligent automation. Backed by top-tier investors including Sequoia, NEA, and leading AI founders and operators, the company is building an AI-powered platform that simplifies healthcare workflows and enables clinicians to focus more on patient care. The company is entering a major scale-up phase following significant enterprise customer growth and recent funding. Their engineering organization is still small and highly technical, creating an opportunity for engineers to own systems end-to-end while shaping the architecture and reliability of a rapidly growing platform.
Requirements
- 1–7 years of professional software engineering experience with strong engineering fundamentals
- Experience working at companies known for strong engineering culture and technical rigor
- Background in one of the following areas: infrastructure/SRE, backend platform engineering, data engineering, or full-stack engineering with a backend lean
- Experience building production APIs, distributed systems, or data pipelines
- Strong understanding of cloud infrastructure and scalable system architecture
- Demonstrated ownership of systems end-to-end, from design through production support
- Strong communication skills and ability to collaborate cross-functionally with technical and non-technical stakeholders
- Interest in solving operationally complex, high-scale infrastructure problems
Nice To Haves
- Experience with Python, Go, TypeScript, React, or similar modern engineering stacks
- Experience building or evaluating LLM-powered systems and AI infrastructure
- Familiarity with distributed systems, event sourcing, platform engineering, or enterprise architecture
- Customer-facing engineering experience such as forward deployed engineering or technical implementation work
- Public GitHub projects, open-source contributions, or technical portfolio demonstrating engineering depth
- Experience in fast-moving startups or high-performance engineering organizations
Responsibilities
- Design and build backend services, APIs, and data pipelines that power AI-driven healthcare workflows
- Work across the stack when needed, contributing to infrastructure, backend systems, and frontend applications
- Build and improve LLM-powered systems, including evaluations, monitoring, and reliability tooling
- Analyze production logs, debug distributed systems and event streams, and improve platform reliability and scalability
- Develop internal tooling and automation systems that increase operational leverage across the engineering organization
- Work directly with enterprise customers to understand workflows, scope integrations, and translate operational requirements into technical solutions
- Contribute to SDKs, developer tooling, documentation, and platform architecture decisions
- Own systems from initial design through deployment and production operations
Benefits
- Competitive equity package included
- Visa sponsorship available
- Opportunity to work directly with enterprise customers on production AI infrastructure
- Highly collaborative engineering culture with strong ownership and fast iteration cycles
- Significant influence over platform architecture and system design during rapid company growth
- Exposure to cutting-edge AI, distributed systems, and healthcare infrastructure problems
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
