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.