ai engineer

Ciklum is a custom product engineering company that supports multinational organizations and scaling startups in solving complex business challenges. The organization employs a global team of over 4,000 professionals to engineer technology that redefines industries.

• 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;
• Roll out AI adoption in phases, starting with one developer per team;
• Focus on developers, with potential to expand support to QA, BA, and DevOps over time;
• Use and adapt to the approved internal toolset while ensuring compliance with TUI standards;
• Collaborate with internal AI/innovation teams to address tooling gaps or improvement opportunities.

• 8+ Years of professional experience in software, data, or AI engineering;
• 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 mathematical foundations of machine learning;
• Experience building and deploying advanced AI systems, including LLMs, multimodal, and generative AI architectures;
• Proficiency in Python and experience with AI/ML frameworks like PyTorch, TensorFlow, LangChain, or Hugging Face;
• Experience with cloud-native AI platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI;
• Strong software engineering skills including data processing, API integration, and model serving;
• Experience with MLOps/LLMOps best practices, CI/CD, and pipeline orchestration;
• Understanding of security, data governance, and compliance (GDPR, CCPA, PCI DSS);
• Nice to have: Familiarity with agentic system design, RAG, prompt engineering, Java, Node.js, Scala, and experience in sectors like BFSI, Healthcare, Aerospace, Manufacturing, Energy, or Telecom.

• Strong professional community and open-door environment;
• Large-scale projects with global impact;
• Access to internal events, meetups, conferences, workshops, and Udemy;
• Company-paid certifications and language courses;
• Internal mobility opportunities;
• Company-paid medical insurance.