AI-First Fullstack Engineer (Senior)

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 healthcares 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 matterspatient care. We are a fast-scaling company where advanced AI meets real-world impact.

About the Role

Were 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 isnt 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 youll 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.