AI Software Engineer
Livo HealthSpain3 days ago
Full-timeRemote FriendlyEngineering, Information Technology
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Role OverviewLivo 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
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.
- 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.
- 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).
- 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.
- 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.
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