AI Engineer Tools & Automations

• Competitive compensation package

• Hybrid work model based in Barcelona

• High ownership from day one - you define the direction, not just execute on it

• Work directly with the founders and a senior, low-ego team

• Real, immediate impact - your tools will be used by every team, every day

We care more about what you've built than where you studied. A degree in Computer Science, Engineering, or a related technical field is a plus, but relevant hands-on experience matters more than the diploma.

You've already done this before - you've walked into a company, spotted where AI could solve a real problem, and built the solution yourself, end to end. You're not looking for your first shot at this.

• Strong, proven experience working with LLMs in production - prompting, fine-tuning, RAG, or agent-based systems

• Deep knowledge of agent frameworks and how to design multi-step, tool-using workflows

• Track record of shipping tools or automations that measurably improved productivity or performance in a company

• Strong Python skills and comfort integrating APIs, webhooks, and third-party tools

• Business vision - you understand how a company operates and can spot high-leverage opportunities for automation without being told where to look

• Comfortable working in fast-moving, data-heavy environments where speed and iteration matter

• Experience building tools or automations involving paid or organic acquisition data (campaigns, channels, attribution, or similar) is a strong plus

• Ability to work autonomously, prioritize based on impact, and ship without waiting for perfect conditions

You live and breathe AI tools - not just LLM APIs, but the broader ecosystem of agents, copilots, and automation platforms. You stay on top of the state of the art and know how to turn new capabilities into practical, working tools fast.

You communicate clearly with both technical and non-technical stakeholders. You know how to interview a team about their pain points, translate that into a technical solution, and explain the result in terms they care about.

• Experience with agent frameworks (LangChain, LlamaIndex, CrewAI, or similar)

• Experience with automation/workflow platforms (n8n, Zapier, Make)

• Experience building tools involving data pipelines, dashboards, or reporting systems

• Prior experience in a startup or fast-moving, resource-constrained environment

At Labhouse, AI isn't just what we ship to users - it's how we operate internally. As our AI Engineer, you'll design and build LLM-powered tools, agents, and automations that remove friction and unlock speed across the company.

This is a hands-on, high-ownership role. You will:

• Identify manual, repetitive, or slow processes and turn them into AI-powered tools and automations

• Design and build LLM-based agents that can reason, use tools, and complete multi-step tasks autonomously

• Own projects end-to-end - from scoping the problem and understanding the business need, to designing, building, and shipping the solution

• Integrate LLMs and agents with internal systems and third-party tools

• Work directly with team leads to understand where AI can unlock the most impact - and translate that into working products

• Measure the productivity and efficiency gains your work generates, and iterate based on real usage