Expert AI Engineer

Description

Summary: Ciklum is seeking an Expert AI Engineer to join a cross-functional development team, focusing on embedding AI into everyday engineering workflows and fostering efficient AI adoption. Highlights: 1. Work 1:1 with senior engineers on real tasks, driving AI integration 2. Help teams adopt agentic ways of working through practical application 3. Collaborate with internal AI/innovation teams to improve tooling **Ciklum** is looking for an **Expert AI Engineer** to join our team in Spain. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. **About the role:** As an Expert AI Engineer, you'll become a part of a cross\-functional development team engineering experiences of tomorrow. **Responsibilities:** * Embed into product teams and work 1:1 with senior engineers on real tasks * Co\-develop and refine ways of using AI in everyday engineering workflows * Help teams adopt “agentic” ways of working through practical application, not just guidance * Start with one developer per team (phased rollout, not all teams at once) * Primarily focus on developers, with potential to expand support to QA, BA, and DevOps over time * Use and adapt to the approved internal toolset (e.g. Kiro, potentially Claude), ensuring compliance with TUI standards * Collaborate with internal AI/innovation teams to address tooling gaps or improvement opportunities * What Success Looks Like: + Engineers are actively using AI in their daily work in a meaningful way + AI is embedded into real development tasks (not just experimentation or training) + Teams become more efficient through practical AI adoption + Clear, reusable patterns for AI\-supported development start to emerge **Requirements:** We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit! * General technical requirements: * 8\+ years of professional experience in software, data, or AI engineering, including at least 3–4 years of hands\-on experience designing and implementing AI/ML solutions * BSc, MSc, or PhD in Computer Science, Mathematics, Engineering, or a related quantitative field * Deep understanding of probability, statistics, and the mathematical foundations of machine learning and optimization * Proven experience building and deploying advanced AI systems, including Large Language Models (LLMs), multimodal, and generative AI architectures * Exposure to agentic system design, retrieval\-augmented generation (RAG) and prompt engineering techniques * Strong proficiency in Python and experience with AI/ML development frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face or equivalent), with awareness that production environments may also rely on Java and/or Node.js depending on the team’s technology stack. Familiarity with both AI development tooling and backend/service\-side technologies is beneficial, as the role may span model development and integration into existing systems. * Solid understanding of modern AI engineering practices, including model lifecycle management, observability, evaluation, versioning and continuous improvement * Familiarity with AI solution delivery methodologies (e.g., CRISP\-ML(Q), TDSP or modern agile ML lifecycles) * Ability to visualize, interpret, and communicate model outputs and insights effectively using modern tools and dashboards * Specific technical requirements: * Proven experience in architecting and implementing end\-to\-end AI/ML solutions — from data ingestion and model training to deployment, monitoring and optimization * Strong software engineering skills for AI system development, including data processing, API integration, and model serving (Python, SQL and optionally Java/Scala or similar) * Hands\-on experience with cloud\-native AI platforms and services (AWS SageMaker, Azure ML, GCP Vertex AI or NVIDIA AI stack) \- AWS as primary * Proficiency in designing scalable ML/LLM pipelines and applying MLOps/LLMOps best practices (CI/CD, orchestration, monitoring, versioning, and deployment automation) * Experience with diverse data modalities (structured, text, image, audio, video) and multimodal model integration * Familiarity with handling complex data scenarios such as class imbalance, time\- series forecasting and anomaly detection * Understanding of security, data governance and compliance considerations in AI system design * Domain experience: * Broad exposure to enterprise\-scale AI solution design across industries such as BFSI, Healthcare, Aerospace, Manufacturing, Energy, Telecom or Technology sectors * Proven ability to translate business and operational requirements into robust AI system architectures that deliver measurable impact * Familiarity with challenges of deploying AI in regulated environments and ensuring compliance with data privacy and protection frameworks (e.g., GDPR, CCPA, PCI DSS) * Experience managing sensitive or high\-value data (PII, PHI), implementing strong security, governance and access control mechanisms * Understanding of enterprise data ecosystems and integration patterns (CRM, ERP, knowledge management or workflow systems) * Business\-related requirements: * Proven experience delivering production\-grade AI solutions that achieve measurable business and operational outcomes * Strong ownership of the full AI engineering lifecycle — from problem framing and architecture design to deployment, optimization, and continuous improvement * Ability to align technical decisions with business priorities, ensuring scalability, reliability, and measurable value from AI initiatives * Excellent collaboration and communication skills to work effectively with cross\- functional stakeholders, delivery teams, and clients * High degree of autonomy, accountability, and attention to detail in managing complex, multi\-component AI systems **What\`s in it for you?** * Care: your mental and physical health is our priority. We ensure comprehensive company\-paid medical insurance and 4 additional undocumented sick leave days * Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company\-paid certifications * Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally * Flexibility: Own your schedule – you are the one to decide when to start your working day. Just don’t miss your regular team stand\-up. We are there to support your work\-life balance and provide 23 vacation days \& short Fridays * Opportunities: we value our specialists and always find the best options for them. Our Internal Mobility Program helps change a project if needed to help you grow, excel professionally and fulfill your potential * Global impact: work on large\-scale projects that redefine industries with international and fast\-growing clients * Welcoming environment: feel empowered with a friendly team, open\-door policy, informal atmosphere within the company and regular team\-building events **About us:** At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting\-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. Based in Málaga, our team thrives in one of Andalusia’s leading tech hubs. Enjoy a hybrid work setup, the sunny Mediterranean vibe, and endless opportunities to grow your skills on global\-scale projects. Want to learn more about us? Follow us on Instagram, Facebook, . **Explore, empower, engineer with Ciklum!** Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum. \#LI\-VH1 REQUIRED SKILLS AI Platform Prompt Engineering JOB INFO Job Identification 3211 Job Category Data Science and Machine Learning Posting Date 06/01/2026, 07:55 AM Locations ES\-Remote (Remote)