Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.
For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.
AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating.
At Keyrus, you will not just develop skills — you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last.
Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.
Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.
Job location: Barcelona, Spain (Hybrid model, 2 or 3 days on-site per week)
Contract type: Employee / Contractor B2B
Target start date: ASAP
⏰ Working hours: Full-time
Compensation: €35k to €48k gross per year
As an AI Engineer (Azure & Generative AI), you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making.
This role is both technical and consultative, perfect for someone who can combine hands-on development, AI solution engineering, and collaboration within multidisciplinary teams. The goal is to build scalable AI-powered solutions while ensuring reliability, performance, and business value. We’re looking for professionals who think like architects and act like builders.
Design, develop, and maintain scalable backend systems and APIs supporting enterprise AI solutions built on the Microsoft Azure ecosystem.
Build and optimise cloud-native AI applications, ensuring performance, scalability, security, and operational excellence.
Integrate Generative AI technologies, including Retrieval-Augmented Generation (RAG), speech-to-text capabilities, and other AI models into production environments.
Leverage Azure services such as Azure Functions, App Services, Cosmos DB, and Azure Key Vault to deliver secure and efficient solutions.
Collaborate closely with Data Scientists, AI Engineers, Frontend Developers, and Business Stakeholders to ensure seamless integration of AI capabilities.
Monitor, troubleshoot, and optimise backend services and AI deployments, ensuring high availability, reliability, and operational stability.
Stay current with emerging trends in Generative AI, particularly Large Language Models (LLMs), Prompt Engineering, and enterprise AI adoption.
Contribute to the design and implementation of Intelligent Document Processing (IDP) solutions leveraging LLMs and advanced document understanding techniques.
You are curious, analytical, and motivated by solving meaningful business challenges.
You enjoy turning complexity into clarity and action.
You balance technical thinking with business understanding.
You are comfortable working in collaborative and international environments.
You take ownership of your work and follow through on commitments.
You value continuous learning and are motivated by long-term professional growth.
You communicate clearly and effectively with a variety of stakeholders.
You are passionate about the practical application of AI and Generative AI technologies to solve business problems.
Qualifications & Experience
2+ years of professional experience developing backend systems and cloud-based solutions.
Proven experience developing AI-powered applications and deploying solutions in production environments.
Experience working in Agile and multidisciplinary teams.
Professional proficiency in Spanish and English.
Technical & Professional Skills
Experience with backend development and API design.
Hands-on expertise in Azure AI and cloud services, particularly:
Azure Functions
Azure App Services
Azure Cosmos DB
Azure Key Vault
Experience integrating Generative AI solutions, including:
Large Language Models (LLMs)
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Speech-to-Text solutions
Knowledge of cloud application monitoring, troubleshooting, and deployment best practices.
Strong analytical, problem-solving, and debugging capabilities.
Ability to translate technical concepts into practical business solutions.
Nice to Have
Experience designing and implementing Intelligent Document Processing (IDP) solutions using LLMs.
Previous experience delivering AI solutions in enterprise environments.
Knowledge of emerging trends and innovations within the Generative AI ecosystem.
Exposure to consulting or client-facing projects.
Experience working in international or multicultural teams.
Additional certifications or specialised domain expertise.
You focus on outcomes rather than activity.
You approach challenges with curiosity and pragmatism.
You communicate complex concepts in a clear and accessible way.
You are comfortable navigating ambiguity and finding practical solutions.
You contribute to collective intelligence by sharing knowledge and supporting others.
You combine autonomy with collaboration.
You continuously look for opportunities to improve systems, processes, and results.
Competitive salary, paid in 14 instalments (option for 12 from day one).
Annual performance bonus.
Meal allowance (Restaurant Tickets): €1,800/year net, distributed over 11 monthly reloads
Flexible retribution plan: transport & daycare tickets
Private medical insurance with Sanitas (no copays, dental included)
22 days of annual leave, increasing every 3 years (up to 26 days)
14 public holidays (Madrid calendar)
December 24th and 31st are considered company holidays when they fall on working days
Continuous learning via KLX – Keyrus Learning Experience
A collaborative, international, and human-centred work environment
At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.
Bottom of the range
You meet the core requirements and will need ramp-up time and support.
Middle of the range
You are fully autonomous from Day 1 and deliver consistently.
Top of the range
You are a reference for the role, mentor others, and raise the bar for the team.
Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.
At Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.
To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for note-taking purposes during interviews. AI is never used to make decisions.
To ensure fairness, authenticity, and the protection of confidential and proprietary information, the use of AI tools by candidates during the recruitment process is strictly prohibited.
Our commitment to responsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.
⚠️ Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process.
We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.
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