Full Stack Engineer
NxT Level
Full-Stack Software EngineerLocation: New York City Employment Type: Full-time Experience: New grad to 2 years Focus: Full-Stack Engineering, AI Coding Tools, Internal Tooling, Healthcare AIAbout Our ClientOur client is building at the intersection of healthcare, AI, and applied machine learning.The company is working on systems that help train and evaluate AI models in realistic healthcare environments. To move faster, they need high-horsepower full-stack engineers who can take execution-heavy engineering work off the ML team's plate so researchers can focus on their highest-value work.This is an early-career role for someone ambitious, technical, and hungry to ship. The work is not meant for a highly specialized senior engineer. It is designed for a sharp full-stack generalist who can use modern AI coding tools, move quickly, and build real things in a fast-paced startup environment.About the RoleOur client is hiring a Full-Stack Software Engineer to support two main workstreams.The first is building near one-to-one replicas of existing healthcare platforms that serve as the foundation for reinforcement learning environments. The second is building internal tools that help the team ship faster, improve workflows, and create more leverage for the ML organization.This is a strong fit for a new grad or early-career engineer who wants meaningful ownership, enjoys grinding through execution, and is excited to use tools like Claude and Cursor to move faster than a traditional engineer at the same experience level.What You'll DoBuild full-stack replicas of existing healthcare platforms used as the foundation for RL environmentsCreate internal tools that help the team ship faster and reduce execution load on ML engineersBuild tooling for demos, workflows, experimentation, and internal operationsWork directly with ML engineers to understand what needs to be built and execute quicklyMove between environment builds and internal tooling as priorities shiftUse modern AI coding tools as a core part of the development workflowOwn real product and tooling surface area in a tiny, fast-moving startupShip practical, useful software quickly without needing every step spelled outHelp create leverage for the research team by taking engineering execution off their plateWhat We're Looking ForNew grad to roughly 2 years of professional engineering experienceStrong full-stack generalist with high horsepower and strong execution speedExperience building real projects, internal tools, automations, or production softwareFluency with modern AI coding tools such as Claude, Cursor, or similar platformsStrong ability to learn quickly and figure things out independentlyTooling mindset and curiosity around what is newly possible with AI-assisted developmentComfort working in a fast-moving, early-stage startup environmentStrong ownership, urgency, and willingness to grind through execution-heavy workAbility to collaborate closely with ML engineers and technical foundersInterest in healthcare, AI, reinforcement learning, or research infrastructureNice to HaveExperience building internal tooling, automations, or developer productivity toolsPersonal projects or demos that show strong full-stack abilityExperience shipping software used by others, either in production or in a serious project environmentUp-to-date knowledge of the latest AI coding tools and agentic development workflowsPersonal or mission-driven connection to healthcareWho Will Thrive HereAn ambitious new grad who wants to ship fast and earn real ownership earlyA full-stack generalist who uses AI tooling to move faster than their experience level suggestsSomeone who enjoys building practical tools that unblock othersA builder who is energized by helping researchers and ML engineers move fasterSomeone who wants to work hard, learn quickly, and build real systems in a tiny startup environmentA mission-driven engineer excited by the opportunity to improve healthcare through AIWhy This OpportunityJoin a tiny, fast-moving healthcare AI startup earlyOwn meaningful engineering work from the beginning of your careerWork directly with ML engineers and foundersBuild tools that create real leverage for a research teamUse AI coding tools as a core part of how work gets doneGet broad exposure across full-stack engineering, healthcare workflows, tooling, and RL environmentsStep into a role where speed, curiosity, and ownership matter more than years of experience
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