AI Engineer v Praha, Česko

We are looking for an experienced AI Engineer for our client, the biggest IT distributor in the world. The company has built a strong data analytics capability, focused on creating predictive insights, automation of business processes and personalization of partner interactions. A crucial building block of their services is a comprehensive data insight into the market trends and opportunities. Collaborates with the world's largest technology companies such as Microsoft, IBM, Apple, Cisco, HP, Lenovo, Samsung, Dell, Amazon, Autodesk and many others. About the team: You will be part of a European Data Practice center of excellence, which interconnects business needs with exceptional AI and data solutions. The team has around 30 individuals of 9 nationalities with diverse professional and academic backgrounds, including telco, banking, insurance, life sciences, or physics. We tackle problems from many different areas such as:

• AI-driven automation (customer, marketing, and sales workflows across ERP, CRM, and E-commerce platforms).
• Retrieval-augmented and context-augmented generation (RAG/CAG) systems that ground AI models in business-critical data.
• Fine-tuning and deploying large language models with MosaicML and scaling workflows on Databricks.
• Reinforcement learning approaches for optimization problems and dynamic decision-making.
• Building agentic AI systems that can reason, plan, and act with APIs and enterprise tools.
• Ensuring reliable, explainable, and secure AI for business-critical operations.

• Designing, building, and deploying production-ready AI models and systems.
• Developing robust pipelines for training, fine-tuning, evaluation, deployment, and monitoring on Databricks.
• Integrating AI with enterprise systems via secure API orchestration.
• Optimizing inference performance through techniques like quantization, pruning, and model distillation.
• Applying RAG/CAG architectures to improve model accuracy and reliability.
• Maintaining AI systems in production: drift detection, monitoring, logging, and retraining.
• Implementing trust, compliance, and governance principles in all deployed solutions.
• Collaborating with business stakeholders and product teams to translate requirements into impactful AI products.

• Working on large scale end-to-end systems using modern cloud-based tools,
• opportunity to grow professionally and personally,
• seeing an impact of your work,
• working with the team of enthusiastic data professionals (who happen to love board and video games),
• stable environment with startup-like dynamics,
• agile and experimental way of working,
• 5 days of extra holidays (total of 25 days),
• 2 sick days per year (fully paid),
• meal allowance,
• multisport card contribution,
• pension insurance contribution,
• well-being days,
• accident insurance,
• mobile phone allowance,
• unlimited mobile phone tariff (unlimited calls/data),
• support for personal development - trainings (Soft skills courses library; Rich Databricks training library of paid courses - free use for employees; Power BI training library),
• couple of Udemy licenses available within the team,
• opportunity to buy technology products from our warehouse with a discounted price,
• refreshment in the office,
• home-office: 2 days a week, Thursday and Friday.

• Az least 3+ years of applied AI/ML engineering experience.
• Advanced Python skills and proficiency with ML/DL libraries (PyTorch, TensorFlow, HuggingFace).
• Hands-on experience with Databricks and MosaicML for production AI workflows.
• Knowledge of RAG/CAG pipelines and integration with vector databases (FAISS, Weaviate, Pinecone, or Milvus).
• Strong understanding of reinforcement learning, fine-tuning, and model optimization (quantization, pruning, distillation).
• Familiarity with agentic AI frameworks (LangChain, LlamaIndex, or similar).
• Working knowledge of distributed systems and SQL-based data platforms (Spark, Snowflake).
• Cloud environment experience (Azure preferred, AWS or GCP a plus).
• Familiarity with MLOps frameworks (MLflow, Kubeflow, Airflow) and experiment tracking tools (Weights & Biases, https://jobeax.com/link/nI75TORsu6ncwwEN).
• Strong problem-solving and communication skills with the ability to deliver scalable, reliable AI solutions.
• BSc/MSc/PhD in Computer Science, AI, or a related STEM field is a plus.