CI Expert AI Engineer Ciklum • Málaga Híbrido · días en casa · Málaga hace días

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.

As an Expert AI Engineer, you'll become a part of a cross-functional development team engineering experiences of tomorrow.

• 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 Dev Ops 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

• 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

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!

• 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, Tensor Flow, Lang Chain, 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.
• 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 life cycles)
• Ability to visualize, interpret, and communicate model outputs and insights effectively using modern tools and dashboards

• 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 Sage Maker, 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
• 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…