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.
About Kouper HealthKouper 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 ExcitingAs 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.
ResponsibilitiesDesign, develop, and maintain scalable backend services, and APIs that support our AI-driven patient engagement platformBuild and maintain the infrastructure for deploying, monitoring, and LLM-driven applications in production environmentsCollaborate closely with AI/ML engineers to architect systems that seamlessly integrate conversational AI and predictive models into our platformLead the design of scalable, extensible backend architectures that can evolve with our product capabilities and growing data requirementsImplement CI/CD pipelines for our application, including automated testing, versioning, and deployment strategiesBuild reusable code libraries, components, and frameworks to improve development speed and qualityImplement engineering best practices for secure, scalable, and maintainable codeLeverage cloud services (GCP, Azure, AWS) to build cost-effective, scalable infrastructure for both traditional web services and ML workloadsParticipate in code reviews and help establish development standardsTroubleshoot, debug, and resolve issues, ensuring high availability and performanceWork with product, operations, and clinical teams to translate business requirements into technical solutionsQualifications5+ years of experience in full stack development, with at least 2 years in a senior level roleEarly-stage product experience building from 0 to 1, and rebuilding that 1 into NProficiency in Node/Python stack, RDBMS, ReactJS, ExpressStrong interest in AI with hands-on experience integrating LLMs into production systems, or strong willingness to learnExcellent system architecture skills with experience designing extensible, scalable backend systemsDisciplined approach to design and engineering: Clean Code, TDD, CI/CDExperience working with cross-functional and non-technical business stakeholders and partnersA portfolio of projects where you led engineering effortsPreferred QualificationsExperience in healthcare tech or related industriesFamiliarity with DevOps practices, containerization (e.g., Docker), and orchestration (e.g., Kubernetes)Experience with AI model deployment platforms, A/B testing, and monitoring toolsBackground in mentoring and coaching engineering teamsWhat We OfferCompetitive salary and equity packageFlexible work environment and remote optionsComprehensive health, dental, and retirement benefitsThe chance to make a significant impact in a mission-driven startup focused on transforming patient careLocation: NYC, SF, or RemoteExpected Start Date: Oct/Nov 2025