Design, develop, and maintain backend services and ML deployment pipelines, collaborating with cross-functional teams to enhance patient engagement and healthcare outcomes.
About Kouper Health
Kouper is redefining how care transitions happen. Backed by General Catalyst, CVS Health Ventures, 25madison, and leading health system partners, we’re on a mission to bridge the care transition gap and fundamentally improve the patient experience — helping people live longer, healthier lives.
Why This Role Is Exciting
As a Full Stack Engineer specializing in MLOps and backend systems, you’ll be at the forefront of applied large language model (LLM) development and backend connectivity. Working closely with the Chief Technology Officer (CTO) and collaborating with product, operations, and clinical teams, you’ll build the infrastructure that powers real-time patient engagement and drives better healthcare outcomes.
You’ll architect scalable backend services and ML deployment pipelines that bring together fragmented healthcare data into a seamless patient experience. In our fast-paced, mission-driven startup environment, you’ll see your work directly impact patients’ lives while helping shape a culture centered on innovation, collaboration, and compassion in healthcare.
Responsibilities
- Design, develop, and maintain scalable backend services, and APIs that support our AI-driven patient engagement platform
- Build and maintain the infrastructure for deploying, monitoring, and LLM-driven applications in production environments
- Collaborate closely with AI/ML engineers to architect systems that seamlessly integrate conversational AI and predictive models into our platform
- Lead the design of scalable, extensible backend architectures that can evolve with our product capabilities and growing data requirements
- Implement CI/CD pipelines for our application, including automated testing, versioning, and deployment strategies
- Build reusable code libraries, components, and frameworks to improve development speed and quality
- Implement engineering best practices for secure, scalable, and maintainable code
- Leverage cloud services (GCP, Azure, AWS) to build cost-effective, scalable infrastructure for both traditional web services and ML workloads
- Participate in code reviews and help establish development standards
- Troubleshoot, debug, and resolve issues, ensuring high availability and performance
- Work with product, operations, and clinical teams to translate business requirements into technical solutions
Qualifications
- 5+ years of experience in full stack development, with at least 2 years in a senior level role
- Early-stage product experience building from 0 to 1, and rebuilding that 1 into N
- Proficiency in Node/Python stack, RDBMS, ReactJS, Express
- Strong interest in AI with hands-on experience integrating LLMs into production systems, or strong willingness to learn
- Excellent system architecture skills with experience designing extensible, scalable backend systems
- Disciplined approach to design and engineering: Clean Code, TDD, CI/CD
- Experience working with cross-functional and non-technical business stakeholders and partners
- A portfolio of projects where you led engineering efforts
Preferred Qualifications
- Experience in healthcare tech or related industries
- Familiarity with DevOps practices, containerization (e.g., Docker), and orchestration (e.g., Kubernetes)
- Experience with AI model deployment platforms, A/B testing, and monitoring tools
- Background in mentoring and coaching engineering teams
What We Offer
- Competitive salary and equity package
- Flexible work environment and remote options
- Comprehensive health, dental, and retirement benefits
- The chance to make a significant impact in a mission-driven startup focused on transforming patient care
- Location: NYC, SF, or Remote
- Expected Start Date: Feb 2026
Top Skills
AWS
Azure
Docker
Express
GCP
Kubernetes
Node.js
Python
Rdbms
React
Kouper New York, New York, USA Office
817 Broadway, 7th Floor, New York, NY , United States, 10003
Similar Jobs
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Coordinate corporate travel and internal events, manage travel policies, assist with event planning, provide support to attendees, and handle travel inquiries.
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
The Director of Biostatistics leads a team in clinical research, developing statistical plans, collaborating across departments, and ensuring regulatory compliance.
Top Skills:
RSASSQL
Cloud • Information Technology • Machine Learning
As a Staff Firmware Security Engineer at CoreWeave, you will lead firmware security strategies, enforcing secure practices and collaborating with engineering teams to mitigate security risks in a large-scale infrastructure.
Top Skills:
Automation ToolingBiosCC++Firmware SecurityGoIpmiLinuxPythonRedfishRustSecure BootSIEMTelemetryTpmUefi
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
