Svitla Systems Inc. is looking for a Principal AI Engineer for a full-time position (40 hours per week) in Europe.  Our client is a middle-market private equity firm that gathers information and reports to enhance environmental and social impacts on the customer’s business. We are seeking a visionary Principal AI Engineer to lead the development of the AI Platform. As a founding member of the AI Center of Excellence, you will lead by example to build a high-performance team. You will build sophisticated Agentic Systems and Adaptive RAG engines that conduct autonomous research to solve complex, real-world problems. You will be a key member of defining 'how we do AI, setting the standards for engineering quality, security, and innovation. Tech Stack Languages: Python, TypeScript; AI Frameworks: LangChain/LangGraph, Pydantic AI, Databricks Mosaic AI; Models: Azure OpenAI, Open Source LLMs (Llama 3, Mistral, etc.) Infrastructure: Microsoft Foundry, Azure AI Search, Azure Container Apps, Delta Lake, Vector; Databases like Databricks Vector Search. Requirements10+ years of experience in software engineering, with a strong focus on building data-intensive, distributed systems.Significant hands-on experience deploying AI/ML solutions to production.While deep GenAI experience is preferred, a strong traditional ML Engineering background is a big plus.Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, Physics, or related fields.Deep understanding of building production RAG systems. Knowledge of the nuances of chunking strategies, hybrid search (dense + sparse), re-ranking, and context management.Experience in building systems where LLMs use tools, maintain state, and execute multi-step plans. Familiarity with the challenges of loops, recursion, and hallucination mitigation.You are a software engineer first. You write clean, maintainable Python code and understand distributed systems, API design (FastAPI), and cloud architecture.You can balance the 'bleeding edge' with 'boring technology' to deliver pragmatic business value. You understand the trade-offs between cost, speed, and accuracy.ResponsibilitiesDesign and build scalable, reusable AI services (e.g., the 'Adaptive RAG Engine,' 'Text-to-SQL Service,' and 'Agentic Runtime') that product teams can easily integrate.Serve as the technical authority on Generative AI. Mentor senior engineers, conduct code reviews, and drive the adoption of engineering best practices (testing, CI/CD for AI, evaluation).Lead the development of multi-agent systems capable of complex reasoning, planning, tool use, and self-correction (using frameworks like LangGraph or Semantic Kernel).Load datasets and knowledge sources from external systems.Shape and transform data to optimize it for Hybrid or Semantic Search, providing the best possible knowledge context to LLMs.Move prototypes to production while focusing on latency, cost optimization, and reliability. Implement robust evaluation pipelines (LLM-as-a-Judge) to measure quality and prevent regression.Implement guardrails for PII protection, hallucination detection, and prompt injection defense.Partner with product teams to de-risk their AI roadmaps. Translate abstract business requirements into concrete architectural patterns.We offerUS and EU projects based on advanced technologies.Competitive compensation based on skills and experience.Regular performance appraisals to support your growth.Flexibility in workspace, either remote or our welcoming office.Bonuses for article writing, public talks, and other activities.Generous time off, including vacation, national holidays, sick leaves, and family days.Personalized learning programs tailored to your interests and skill development.Free tech webinars and meetups organized by Svitla.Regular corporate online activities.Awesome team and a friendly, supportive community!