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

AI Platform

Prompt Engineering