Principal ML Engineer (Agentic AI)-Vendor Data Team
Role details
Job location
Tech stack
Job description
and maintain scalable data pipelines for RAG, embeddings, and real-time/near-real-time data processing - Build and operate production-grade ML services and APIs, ensuring reliability, scalability, and performance - Define standards for infrastructure, deployment, and system reliability, including Infrastructure as Code, containerization, and orchestration - Integrate ML systems with external APIs, tools, and operational platforms, enabling real-world actions and automation - Establish monitoring, evaluation, and observability frameworks across data, models, and systems, while mentoring engineers and setting technical direction. Qualifications - Strong experience designing and scaling production-grade ML systems and data platforms, including large-scale deployments - Deep expertise in data engineering and ML pipelines, including feature/data pipelines, RAG systems, and embedding workflows - Proven experience building and maintaining reliable data infrastructure with
Requirements
strong guarantees around data quality and freshness - Strong engineering skills in Python and SQL, with experience in Docker, Kubernetes, and cloud environments - Experience with Infrastructure as Code (e.g., Terraform or similar) and building reproducible, scalable systems - Hands-on experience integrating ML systems with real-world APIs and services, and operating them in production with monitoring and observability Nice to have: - Experience with LLMs, agent architectures, or orchestration frameworks (LangGraph, AutoGen, CrewAI, etc.) - Familiarity with synthetic data generation, evaluation systems, or AI feedback loops - Experience with agent or ML observability tools such as Langfuse or LangSmith - Experience with model serving, routing, or inference optimization - Experience with open-source models (e.g., LLaMA, Mistral, Mixtral) or custom inference stacks - Knowledge of system reliability, failure handling, and safety patterns in AI systems
Benefits & conditions
Additional Information Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you're in good shape, then we're in good shape. - Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week - We offer 27 days holiday with an extra day on 2nd and 3rd year of service - We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses. - Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy - Cash. Dough. Cheddar. Whatever you call it, we'll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan
