AI Software Engineer at Livo Health

Barcelona, Catalonia, Spain -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

0.0

Posted On

09 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI-Native Workflows, AI Agents, Full Stack Ownership, Kotlin, Spring Boot, Java, Python, LLMs, Data Science, Agent Orchestration, System Integration, Debugging, Startup Speed, English, Spanish

Industry

Hospitals and Health Care

Description

Role Overview 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. We are not looking for a "traditional" backend engineer or a researcher who only lives in Jupyter notebooks. We are looking for a Builder. This role is designed for a hybrid profile—someone with a Data Science foundation who has taught themselves to code because they love seeing products come to life. You are someone who views manual coding as a choice, but AI-augmented development as your superpower. As our AI Software Engineer, you will be at the forefront of our "AI-native" evolution. You won’t just be using Copilot as an autocomplete; you will be orchestrating agents, connecting internal systems (Linear, Notion, Slack) via MCPs, and supervising the logic of complex automated workflows to solve real-world hospital staffing challenges. What you’ll do Architect AI-Native Workflows: Move beyond manual implementation. You will provide business context to AI agents, supervise their output, and act as the bridge between raw model capabilities and a polished product. Build High-Impact AI Agents: Develop and refine agents that automate hospital scheduling, interact with internal systems, and apply complex pricing and configuration rules. Own the Full Stack of the Problem: From understanding a PRD in Notion to deploying a service in Kotlin/Spring Boot, you take 100% ownership of the feature’s lifecycle. Scale with Context: Utilize and improve our internal infrastructure (MCPs) to ensure our AI models have the real-time context they need from Linear, Slack, and our databases. Maintain Technical Excellence: While you might generate 80% of your code via AI, you are responsible for the 100% that reaches production. You will review, debug, and ensure the logic is bulletproof. Operate at Startup Speed: Work on multiple projects in parallel, pivoting quickly between languages (Java, Kotlin, Python) as the problem requires. What we’re looking for AI-First Mindset: You adopted LLMs early and they are now central to your workflow. You are comfortable prompting, supervising, and iterating with agents rather than writing every line of code by hand. Hybrid "Builder" Profile: A background in Data Science or Analytics, but with the self-taught engineering chops to build and deploy backend services. Language Agnostic: You aren't married to a specific stack. Whether it’s Python, TypeScript, or moving into Java/Kotlin with Spring Boot, you learn what you need to get the job done. High Ownership & Proactivity: You don’t wait for a perfectly groomed ticket. You find the context in Slack or Notion and move the needle yourself. Startup Grit: You thrive in high-pressure environments, enjoy working long hours when a launch is at stake, and have a history of "weekend projects" that prove your passion for building. Fluent English and Spanish is a must-have. Our Current Tech Context Backend: Java, Kotlin, Spring Boot, Spring AI. AI Tools: Claude Code, Codex, and custom Agentic workflows. Context Layers: Linear (AI-centric tracking), Notion (PRDs), Slack (Support/Ops context), and MCPs (Model Context Protocol). What this role is not Not a "Standard" Backend Role: If you prefer to spend 8 hours a day manually writing boilerplate code, you will be frustrated here. Not a Research Role: We are not inventing new architectures; we are applying state-of-the-art AI to solve immediate, painful problems for nurses and doctors. Not a 9-to-5 Corporate Job: We are in a high-growth phase that requires intense dedication and a "do-whatever-it-takes" attitude. Why join Livo Shape the Future of Work: Help define how software engineering evolves in the age of AI. Mission-Critical Impact: Your code (and your agents' code) directly affects the efficiency of healthcare systems. Foundational Role: Work directly with a highly technical team where your "builder" mentality is the standard, not the exception. Autonomy: We value outcomes over process. If the agent builds it and it’s perfect, you win.

Responsibilities

The engineer will architect AI-native workflows by providing business context to AI agents and supervising their output to bridge model capabilities with polished products. They will build high-impact AI agents to automate hospital scheduling and own the full feature lifecycle from requirements gathering to deployment using languages like Kotlin and Java.