Principal ML Engineer (Agentic AI)-Vendor Data Team

Job description

Company Description As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero. Job Description We are on a lookout for a hands-on Principal ML Engineer (Agentic AI) to join the Vendor Data Team on our journey to always deliver amazing experiences to go beyond prompt engineering into autonomous orchestration: designing agents that generate their own prompts, tools that empower AI with real-world actions, and judge models that validate outputs. Your work won’t sit in research notebooks — it’ll ship. As part of our Vendor Team, you’ll be the driving force behind the success of thousands of restaurants, shops, and local businesses. Your contributions will empower vendors with advanced tools to manage their operations, boosting their visibility and reach. Every feature you help build will create growth opportunities for businesses of all sizes, strengthening Delivery Hero’s ecosystem and impact. In the Vendor Data Team we build AI-native products that operate businesses. At our core is a 360° AI Account Manager for food delivery platforms—a system that moves beyond static ML pipelines to reason, act, and automate workflows.Our architecture integrates large-scale data pipelines, retrieval systems, and agentic components to drive real-world decisions. We believe a model is only as good as its environment; therefore, we prioritize data quality, system design, and infrastructure reliability. As an agentic-first team, we use tools like Claude Code to ensure AI actively participates in development, always grounded in robust engineering practices. Key Responsibilities: Design and own end-to-end ML and data systems — from ingestion and transformation to model integration and production deployment Architect 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 Lead the implementation of security best practices for AI systems, including secure prompt handling, data privacy protocols, and protection against adversarial attacks or model injection. Ensure all AI agents operate within strict authorization boundaries. 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 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 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, 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 The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses. Wondering what relocating to Berlin is like? In this article, we’ve put together 10 things you should know about moving to Berlin and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin. Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers created in collaboration with our recruiters. Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today! We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com. Severely disabled applicants with equal qualifications will be given preferential consideration. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.