Principal ML Engineer (Agentic AI)-Vendor Data Team

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.

The Agentic AI team is building the next generation of AI‑native products — intelligent systems that reason, act, and adapt. We combine the power of large language models (LLMs), autonomous agents, and retrieval‑augmented generation (RAG) to move beyond static prompts and chatbots into dynamic AI systems that solve real problems at scale.

We don’t treat LLMs as tools to micromanage — we treat them as collaborators. Our products are designed to build and evolve themselves, leveraging AI to orchestrate workflows, make decisions, and continuously improve. If you’re ready to stop building brittle bots and start building AI that builds AI — this is your playground.

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
• 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 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 (Lang Graph, Auto Gen, CrewAI, etc.)
• Familiarity with synthetic data generation, evaluation systems, or AI feedback loops
• Experience with agent or ML observability tools such as Langfuse or Lang Smith
• 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

• 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…