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We're a Series A Health-Tech startup backed by Bessemer, First Round Capital, AlleyCorp, Breyer Capital, B-Capital, Inflect Capital, Gaingels, D. E. Shaw & Co, and a few amazing angels. Our medical group cares for patients directly, and we leverage technology to make that care possible at scale. As a result, we use a ton of automation and machine learning to make ours and our patients' lives easier. We also publish groundbreaking research in leading journals like Nature and PLOS, demonstrating our commitment to innovation. We're not just building software; we're building a better way to deliver healthcare. We're partnering with leading healthcare systems nationwide, and our mission is to genuinely improve patient outcomes, not just optimize metrics. If you're passionate about transforming healthcare through technology, join our diverse team in making a real impact.
Job Responsibility:
Build and maintain core backend services in C#, Python, and Android applications using Kotlin, supporting our AI-driven healthcare solutions
Integrate advanced AI and LLM capabilities into key product features and workflows
Utilize n8n (or similar tools) to automate data pipelines and operational processes
Work with the product and compliance teams to ensure data integrity, security, and adherence to healthcare regulations
Participate in architectural discussions, brainstorming sessions, and code reviews—helping to shape our technology roadmap and improve our development processes
Continuously refine code, infrastructure, and workflows to support rapid growth, adaptability, and innovation
Requirements:
Bachelor’s degree in Computer Science, Engineering, or a related field
advanced degree is a plus
Familiarity with C#, Python, and Kotlin
Hands-on experience with modern frameworks, APIs, and full-stack development is a plus
Exposure to Microsoft Azure services (Compute, Storage, Databases)
Infrastructure-as-code (Terraform) knowledge is a bonus
Understanding of workflow automation tools like n8n or equivalent platforms
Basic-to-intermediate experience integrating AI/ML features—such as Azure Cognitive Services, Bedrock, OpenAI, Claude, or Vertex—into applications
Awareness of data security best practices and the importance of compliance frameworks (e.g., HIPAA) in healthcare
Strong interpersonal skills, with the ability to work alongside product teams, clinicians, and other engineers
Must be based in New York, with the ability to collaborate on-site as needed
For Junior Candidates (0-2 Years): Top-Tier Education: Must have graduated from a top 10 Computer Science program (e.g., MIT, Stanford, UC Berkeley, Carnegie Mellon, etc.)
Possession of an active GitHub repository demonstrating ML projects or contributions to open-source projects
For Early Mid-Level Candidates (3-5 Years): 3-5 years of software engineering experience, ideally in a startup or similarly fast-paced environment
Demonstrated expertise in C# and Python, with a track record of building scalable, maintainable backend systems
Experience with infrastructure-as-code (Terraform) and advanced cloud services is preferred
Nice to have:
Hungry & Curious: Excited by complex challenges, eager to learn new technologies, and thrive outside of the comfort zone
Technical & Adaptable: Understanding of backend and Android development with Kotlin
Startup-Ready: Comfortable with rapid iteration, ambiguity, and shifting priorities in a high-growth environment
Mission-Driven: Motivated by the potential to positively impact patient outcomes and improve healthcare