Member of Technical Staff

Member of Technical Staff

Location:

New York City Company Stage of Funding:
Series B AI Healthcare Infrastructure Startup Office Type:
On-site (5 days/week) Salary: $200K–$270K + Equity

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.

• 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

• 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

• Experience with Python, Go, Type Script, 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 Git Hub projects, open-source contributions, or technical portfolio demonstrating engineering depth
• Experience in fast-moving startups or high-performance engineering organizations

• Base salary: $200K–$270K
• 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