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.

📌 AI-First Fullstack Engineer (Senior) (Cataluña)
🏢 Livo Health
📍 Cataluña