AI Engineer

Engineering: Develop robust API endpoints and ETL pipelines to support model and agent runtimes. - Experiment & Evaluate: Create evaluation suites for reliability, drift detection, and performance optimization. Requirements - Python Expertise: 3+ years of strong Python engineering experience. - Graph Intelligence and Databases: Working knowledge of knowledge graph modeling (schemas, ontologies, entity resolution) and graph databases. Hands-on experience with Neo4j, Memgraph, AWS Neptune, ArangoDB, or similar. Familiarity with graph embeddings and GNNs (GCN/GAT) is a plus. - Evaluation & Experimentation: Comfortable designing experiments, building eval harnesses, and reasoning about model quality, robustness, and bias in production AI systems. - Modern AI Patterns: Hands-on experience building RAG pipelines and agentic workflows. Comfort with prompt engineering and tool/function calling. Experience building text-to-SQL or semantic parsing capabilities over structured data sources. -

LLM Observability: Familiarity with LLM evaluation frameworks (e.g., Ragas, DeepEval, Langfuse) and production monitoring of AI systems. - Retrieval & Search: Lexical + vector + hybrid retrieval, embeddings, and reranking. Experience incorporating user and context signals for personalization. - Fine-tuning & Adaptation: Experience with fine-tuning and adaptation patterns (e.g., LoRA/QLoRA, instruction tuning, embedding model fine-tuning). - APIs & Integrations: Solid knowledge of APIs, microservices, and data-centric integrations. - Engineering Discipline: Solid software engineering fundamentals - clean code, testing, debugging, code reviews, and comfort working in agile pods. - Cloud & Deployment: Experience with AWS/Azure/GCP and CI/CD workflows. - Excellent problem-solving skills and keen attention to detail. - Ability to participate in the discussions and lead the technical discussions - Have a consultancy mindset * always try to find a solution for the client Work Conditions - Type: Full-time & Long-term contract work - Start Date: ASAP - Location: Remote (99%) in Europe; must be able to travel freely within Europe for workshops. - US Time Zone Overlap: Required (2 PM - 6 PM CET) - Rate: 300-330 EUR/MD If you are passionate about AI, Graph-centric AI, Python, and building next-generation agentic workflows, this role with our client offers an exciting opportunity to work on cutting-edge R&D projects