> Markdown version of [/jobs/ext/4141198-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4141198-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer. - **Company:** Napptilus Tech Labs - **Location:** Barcelona, Spain - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cursor, Cloud Platform System, Large Language Models, Claude Code, Build Management - **Published:** October 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=58ccc7fd38db35c7 ## About the Role * 2+ years of relevant engineering experience * AI tools are central to how you work, not optional: you use them daily (Claude Code, Codex, Cursor...) and you're always pushing to do more with them * Solid software engineering fundamentals * Hands-on experience with LLMs, embeddings, vector stores, modern AI frameworks and APIs * Familiarity with at least one major cloud platform (AWS, Azure, or GCP) * Clear communicator who can explain technical decisions without jargon * Proactive and self-directed: you move things forward without needing to be pushed * Fluent in English and Spanish. Comfortable understanding Catalan ## Description Our AI team works with clients in Spain and internationally to design and ship AI-powered systems. The work is hands-on and end-to-end: scoping problems with clients, designing architectures, and delivering production systems that hold up over time. We're looking for engineers with a generalist profile who are genuinely curious about rethinking how work gets done with AI. Not just using the tools, but figuring out what becomes possible when you build around them, both internally and for clients. WHAT YOU'LL DO * Design and build AI-powered applications, from early prototype through production * Integrate and orchestrate LLMs and agents into end-to-end products and workflows * Work directly with clients to understand their problems and explain your technical decisions * Help clients and the team rethink how they work with AI, contributing to a culture of experimentation and continuous improvement * Stay on top of the AI landscape and bring relevant ideas into the team