ai engineer

The customer is a global technology organization delivering digital products and business solutions to clients across multiple industries and markets. The company focuses on improving operational effectiveness, optimizing processes, and supporting business growth through modern technologies, data-driven approaches, and scalable platforms.

• Build hierarchical and multi-agent RAG systems with robust orchestration layers;
• Ensure the scalability and reliability of RAG ecosystems across diverse data sources;
• Apply advanced retrieval techniques including semantic chunking, late/latent chunking, and re-ranking models;
• Define and monitor evaluation metrics to improve retrieval quality and response accuracy;
• Implement ingestion and parsing workflows using Unstructured.io, Pydantic, and custom ETL pipelines;
• Build and deploy services with Docker, AWS ECS, and Lambda following event-driven architecture principles;
• Integrate third-party AI/ML services securely and efficiently;
• Participate in daily stand-ups, biweekly syncs, and technical interviews;
• Collaborate with distributed teams across multiple time zones;
• Contribute to strategic discussions on expanding the solution including agent development, model fine-tuning, and new LLM use cases.

• 5+ Years of hands-on AI/ML engineering experience with strong production Python skills;
• Proven experience with advanced agentic RAG, including hierarchical and multi-agent architectures;
• Hands-on RAG evaluation experience defining and monitoring metrics;
• Experience with advanced retrieval and pre-processing/chunking strategies;
• Experience with GenAI orchestration frameworks like LangChain or LangGraph;
• Hands-on experience with document intelligence/OCR services such as AWS Textract or Azure Document Intelligence, and Unstructured.io;
• MCP hands-on experience or strong working knowledge;
• Data integration experience and secure integration of third-party ML/AI services;
• Experience with cloud-native development on AWS including Docker, AWS ECS, and Lambda;
• Solid understanding of event-driven architecture;
• Proficiency in Python and Pydantic with knowledge of data pipelines and modular service design;
• English level Upper-Intermediate or higher;
• Nice to have: Experience with LlamaIndex, Vision-Language Models (VLMs), model fine-tuning, domain-adaptation, AWS Bedrock, Azure embeddings, GCP Vertex AI, or an advanced degree (MSc/PhD) in a relevant field.

• Salary rate: EUR 2 500 - 4 300 per month (gross);
• Opportunity to earn up to an additional 1 000 USD per month as part of the annual bonus;
• Mentoring and adaptation systems for new employees;
• Access to a corporate training portal;
• Certification compensation (AWS, PMP, etc.);
• Referral program;
• Private health insurance and compensation for sports activities;
• Corporate events and office perks (parties, snacks, etc.);
• Available in Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Italy, Kosovo, Latvia, Lithuania, Luxembourg, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, and The Netherlands.