[Hiring] AI Engineer @Atos

Role Description

Are you experienced in building AI-powered solutions, especially with modern NLP architectures and retrieval-based systems? Do you have strong Python skills and enjoy working with open-source tools in a cloud-native environment? If you're collaborative, curious, and excited to work on impactful, production-ready AI systems, we’d love to meet you.

As an AI Engineer, you’ll design and build intelligent applications using advanced machine learning and LLM-based architectures. You’ll work closely with clients to understand their needs and deliver cutting-edge AI solutions leveraging technologies like RAG, vector databases, and semantic search. You’ll collaborate with engineers, analysts, and project managers to:

• Define the problem: Understand the business goals and how AI can create real value.
• Design the solution: Build RAG pipelines, structure unstructured data, and fine-tune language models.
• Implement it: Work with vector stores, embedder models, and retrieval frameworks.
• Deploy it: Help bring your solutions into production using MLOps and LLMOps practices.

Qualifications

• Strong Python programming skills and software engineering skills.
• Experience with modern AI tools, RAG architectures, vector databases, and embedding models.
• Familiarity with LLM frameworks and libraries (e.g., LangChain, LlamaIndex).
• Ability to design and deploy cloud-based AI systems.
• Problem-solving mindset, a passion for learning, and a hands-on approach.
• You must be legally authorized to travel and work across the EU as required for client engagement.

Requirements

• Experience with cloud platforms: Azure, AWS, Google Cloud.
• Agile teams (2–5 people), close collaboration, continuous delivery.
• Remote-first culture: Work where you're most productive. This role is remote within Slovakia.
• Flexible working: Full-time and part-time options available, with part-time roles starting from 24 hours per week.

Benefits

• The opportunity to work on cutting-edge AI systems with real-world impact.
• A collaborative environment focused on innovation and technical excellence.
• Flexibility, remote work options, and a supportive, curious team culture.