Expert AI Engineer

As an Expert AI Engineer, you'll become 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, * Care: comprehensive company-paid medical insurance and 4 additional undocumented sick leave days
• Tailored education path: boost your skills with internal events, Udemy license, language courses, and company-paid certifications
• Growth environment: share experience and level up with a community of skilled professionals, locally and globally
• Flexibility: own your schedule and maintain work-life balance with 23 vacation days & short Fridays
• Opportunities: internal mobility program helps grow and excel professionally
• Global impact: work on large-scale projects redefining industries with international clients
• Welcoming environment: friendly team, open-door policy, informal atmosphere, and regular team-building events

• 8+ years of professional experience in software, data, or AI engineering.
• 3-4 years of hands-on AI/ML solutions design experience.
• Deep understanding of probability and statistics.

Responsabilidades

• Embed into product teams and work with senior engineers.

• Co-develop ways of using AI in engineering workflows.

• Help teams adopt practical AI applications., AI/ML solutions design Python proficiency Software engineering Cloud-native AI platforms Data visualization, BSc, MSc, or PhD in Computer Science, Mathematics, or Engineering, 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 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); awareness that production environments may also rely on Java and/or Node.js. Familiarity with both AI development tooling and backend/service-side technologies is beneficial.

• 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

Ciklum is looking for an Expert AI Engineer to join our team in Málaga, Spain. You will collaborate with product teams, designing AI solutions and enhancing engineering workflows. With over 8 years in AI/ML engineering, you'll embed AI practices into real tasks, ensuring efficiency and measurable impact across teams. Enjoy a hybrid work setup and the vibrant Mediterranean atmosphere while working on global projects., Ciklum is looking for an Expert AI Engineer to join our team in Spain. We are a custom product engineering company that supports multinational organizations and scaling startups to solve complex business challenges. With a global team of over 4,000 highly skilled professionals, we engineer technology that redefines industries and shapes the way people live.