Full Stack AI Engineer

Full Stack AI Engineer — Careers at GenHealth.ai GenHealth Company Products Who We Serve Careers · Open role Full Stack AI Engineer GenHealth is hiring an AI-native full-stack engineer to build and own secure healthcare software from end to end. They’ll use coding agents like Claude Code, Codex and Cursor to ship quickly, while keeping high standards for architecture, security and reliability. Apply now All open roles About the role Full Stack AI Engineer ABOUT THE FULL STACK AI ENGINEER ROLE AT GENHEALTH GenHealth.ai is changing how healthcare works, and we’re looking for a hands-on AI Engineer to join our team. You’ll help build the AI products at the center of that work, with a real impact on patients and the providers who care for them. Responsibilities AI-native software development. Use AI coding agents (Claude Code, Codex, Cursor, etc.) as a core part of your development workflow to design, build, test, and ship production software. Engineering judgment and ownership. Own software development end to end, from architecture and technical design through implementation, testing, deployment, and monitoring. Know what to delegate to agents, how to provide effective context, and how to validate their output. Security first. Build secure systems handling sensitive healthcare data. Apply strong authentication, authorization, data isolation, and security principles throughout development, including when working with AI-generated code. Full-stack development. Design and build frontend, backend, APIs, and cloud infrastructure using modern frameworks and AI-assisted development workflows. Software quality and maintainability. Apply classic engineering principles, including modular design, separation of concerns, testability, and maintainability. Ensure AI-generated code meets the same standards as human-written code. Agentic development workflows. Develop and improve workflows for AI-assisted engineering, including agent instructions, context management, automated testing, code review, and parallel development. Production ownership. Build, deploy, and maintain reliable cloud-based systems, including infrastructure, networking, observability, and performance optimization. AI product development. Prototype and build AI-powered product features using LLMs, tool calling, agent orchestration, and other emerging capabilities. Collaboration and mentorship. Work closely with product, design, and engineering teams to ship quickly, review technical decisions, and help others adopt effective AI-native engineering practices. Requirements Hands-on experience with AI coding agents such as Claude Code, Codex, or Cursor. Demonstrated ability to use these tools to build substantial, production-quality software, not just generate snippets or boilerplate. Strong software engineering fundamentals, including system design, API design, data modeling, networking, concurrency, security, testing, and debugging. Able to recognize when AI-generated implementations are incorrect, insecure, or poorly designed. Experience orchestrating agentic development workflows, including decomposing complex tasks, writing effective specifications and agent instructions, managing context, and validating results through automated tests and code review. Proficiency in Python, JavaScript/TypeScript, or other modern programming languages, with experience building full-stack applications using frameworks such as FastAPI, Django, React, or Next.js. Strong understanding of authentication and authorization protocols, including OAuth2, OIDC, and SAML, and secure application design. Experience with cloud infrastructure (AWS or GCP), containers, CI/CD pipelines, and infrastructure as code. Experience deploying, monitoring, debugging, and maintaining production applications, including logging, observability, and incident response. Familiarity with LLM APIs, tool calling, structured outputs, and agent frameworks. Experience building agent-powered applications is a plus. Ability to move quickly without sacrificing correctness. Comfortable using agents to dramatically accelerate implementation while maintaining rigorous standards for architecture, security, testing, and reliability. Compensation & Benefits The salary for this role is $100,000 – $200,000. In addition to salary, total compensation includes the following Healthcare, dental, and vision insurance for your entire family Equity (stock options) valued between $25,000 - $100,000. Unlimited vacation and 15+ company holidays per year Work directly with the founders At GenHealth.ai, we are transforming the healthcare industry with cutting-edge Generative AI technology. As an Engineer at our company, you will work on projects that will improve the lives of millions of patients around the world. If you are passionate about using AI to make a significant impact on the healthcare industry and have experience in scaling Transformer Neural Network in production, we encourage you to apply today! We take pride in our focus on equity. We are a proud equal opportunity employer and encourage individuals from all backgrounds and identities to apply for this position. We believe in fostering an inclusive and diverse workplace and are committed to supporting our employees’ professional growth and development. Ready to apply? Apply for Full Stack AI Engineer Send us your resume and a short note on why you're excited about this role. 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