> Markdown version of [/jobs/ext/3513520-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3513520-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:** Alimak Group - **Location:** Zaragoza, Spain - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computer Vision, Microsoft Azure, Cloud Computing, Continuous Integration, Custom Software, Cursor, Github, Python (Programming Language), Linux System Administration, Machine Learning, Microsoft Solutions Framework, Software Tools, Microsoft SharePoint, Software Engineering, GitHub Copilot, Deep Learning, Software Application Programming, Information Technology, Low-code, GPT, Software Version Control, Docker - **Published:** September 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6f15ed8d075807f9 ## About the Role Skills & Knowledge & Experience * Good working knowledge of Machine Learning / AI frameworks, libraries and tools * Strong knowledge of machine learning and statistics fundamentals * Proficient in Python with real practical experience * Good working knowledge of full stack web development, CI/CD, APIs, Cloud infrastructure (Azure) and GitHub * 1 - 3 year experience as data scientist, machine learning or artificial intelligence engineer * 1 - 3 years of experience working collaboratively using software development tools, version control and Git/GitHub-based workflows. * 1 - 3 years of experience working with AI cloud services, developing agentic systems, or building applications using AI agents, LLM frameworks and AI-assisted development tools such as GitHub Copilot, Claude Code or Cursor., * Essential: Degree in software development, computer science or other relevant to AI / ML. Other engineering degrees shall prove high computer science competences * Essential: specialization on machine learning, deep learning, computer vision or data science * Desired: Microsoft Azure (AI Foundry, Machine Learning, …), Microsoft M365 Copilot (Chat and Apps), Copilot Studio and other Microsoft solutions (SharePoint, Power Platform, Teams, etc) from a development point of view * Valued: Linux based systems and container apps (Docker) Personal Attributes * Passion for technology and machine learning / artificial intelligence in particular * High analytical and problem-solving skills * Team player: able to cooperate effectively across the business and communicate transparently * Communication: good and clear communication * Attention to details and persistence. Take initiative and be accountable for the quality and outcome of work ensuring the highest safety standards. * Open minded and curious. Strive for continuous growth and improvement * Able to adapt to frequent and fast changes in technology * Embrace diversity and ensure fair treatment and equal opportunities for all ## Description Design, develop, and implement machine learning (ML) models and artificial intelligence systems and solutions to improve business processes, enhance customer experiences, and drive innovation. The AI Engineer works closely with domain experts to identify opportunities for AI - ML applications and develop them from idea to full operation. Key tasks & responsibilities: Product development * Analyse and build dashboards based on IoT data from products and company data in general (Finance, Operations, etc) to gain insights for decision makers * Develop models that help predict use, wear, failure, demand, … * Develop AI solutions that help develop more sustainable and safer products AI powered tools for internal users * Develop tools and applications (e.g. virtual assistants, agentic systems, ad-hoc applications) that help users find information, get answers fast and efficiently and automate processes increasing customer satisfaction * Support and develop no-code, low-code and pro-code AI solutions, including Copilot/Copilot Studio-based agents, Teams-integrated AI tools and custom applications * Support AI adoption by sharing knowledge and experience to level up the AI general knowledge and actively participating the company initiatives. Health, safety & environment * Develop tools that improve product users work safer and with less environmental impact * Develop tools that positively impacts sustainable growth: improve quality, reduce costs and carbon footprint Safety & Compliance * Develop solutions that help mitigate or eliminate risks and improve safety * Ensure compliance and contribute to overall responsible use of AI on every task and project