Summary: Join Livo as a Senior Full-Stack Engineer to build AI-powered solutions for healthcare, leveraging advanced AI tools in a hands-on, high-ownership role. Highlights: 1. Work at the intersection of HR Tech, marketplaces, and applied AI in healthcare 2. High-ownership role building scalable full-stack features end-to-end 3. Actively leverage AI tools across the entire software development lifecycle **About Livo** -------------- Livo is building the AI\-powered operating system for the healthcare workforce. We operate at the intersection of HR Tech, marketplaces, and applied AI, tackling one of healthcare’s hardest problems: enabling hospitals to plan, staff, and operate their workforce effectively. By putting clinicians first, we help nurses and doctors focus on what truly matters—patient care. We are a fast\-scaling company where advanced AI meets real\-world impact. **About the Role** ------------------ We're looking for a hands\-on senior full\-stack engineer, highly productive across frontend, backend, data, and cloud, who treats AI as a core part of the software development lifecycle. This isn't about experimenting with AI on the side. We expect engineers to actively leverage AI\-powered tools across design, implementation, testing, debugging, documentation, and operations, while maintaining strong engineering judgment and accountability for production outcomes. **What you'll be doing** ------------------------ * Own outcomes at the product and company level, not just your own tasks or services. High ownership is the bar here. * Design, build, test, deploy, and operate full\-stack features end to end. * Build scalable frontend experiences and the backend services, APIs, and integrations behind them. * Model and optimize relational data for complex, real\-time workflows. * Participate in architecture discussions and own the technical decisions for what you ship. * Meet the performance, reliability, security, and compliance bar required for sensitive healthcare data. + Work closely with account managers and fellow engineers to turn needs into shipped solutions. **AI\-Fluent Engineering** -------------------------- * Use AI\-assisted development tools as a standard part of your daily workflow. * Leverage AI for code generation and refactoring, test creation, documentation, debugging and root\-cause analysis, system\-design exploration, and data analysis. * Critically evaluate AI\-generated output and validate correctness before it ships. * Continuously explore new AI tools and capabilities, and identify where they can improve engineering efficiency and product quality. * Contribute to our best practices for AI\-assisted software development. **What you should bring along** ------------------------------- * 5\+ years of professional software engineering experience, including production ownership of web applications. * Strong proficiency in JavaScript / TypeScript and a modern frontend framework (React preferred). * Solid backend experience (Java/Kotlin, Python, or Go) with REST API and distributed\-systems design. * Strong SQL and schema design (MySQL/Postgres), comfortable modeling complex workflows. * Comfort deploying and operating applications in the cloud (AWS or GCP). * Strong problem\-solving and debugging skills, and a bias toward clean, well\-tested code that balances time\-to\-market with quality. * Regular use of AI coding assistants in professional work: effective prompting and iteration, a clear sense of where LLMs help and where they fall short, and the ability to verify, test, and safely operationalize their output. * A product mindset and the communication skills to work closely with product, design, and operations. ### **Nice to have** * Containerization and orchestration. * Building AI\-powered features or integrating LLM APIs into production. * RAG, vector databases, agent workflows, or AI evaluation frameworks. * Constraint\-solving, scheduling, or logistics systems. * Fast\-paced startup environments.
David Muñoz
Indeed · HR
David Muñoz
Indeed · HR
