Principal ML Engineer (Agentic AI)-Vendor Data Team

PowerToFly; Berlin; Vor Ort; EUR 80.000 - 120.000; Vollzeit

Benefits dieser Stelle

27 days holiday

Educational Budget

Health Checkups

Employee Share Purchase Plan

Digital Meal Vouchers

Zusammenfassung

A leading tech company in Berlin seeks a hands-on Principal ML Engineer to join their Vendor Data Team. The role involves designing end-to-end ML systems, architecting scalable data pipelines, and integrating ML with APIs. Candidates should have extensive experience in building production-grade ML systems, expertise in data engineering, and strong skills in Python and SQL. This position offers a hybrid working model, 27 days of holiday, and an educational budget for professional development.

Qualifikationen

• Strong experience designing and scaling production-grade ML systems.
• Deep expertise in data engineering and ML pipelines.
• Proven experience building reliable data infrastructure.
• Strong engineering skills in Python and SQL.
• Experience with Infrastructure as Code.
• Hands-on experience with real-world APIs.

Aufgaben

• Design and own end-to-end ML and data systems.
• Architect scalable data pipelines for RAG and data processing.
• Build and operate production-grade ML services and APIs.
• Define standards for infrastructure and deployment.
• Integrate ML systems with external APIs.
• Establish monitoring and evaluation frameworks.

Kenntnisse

Designing production-grade ML systems

Data engineering

Python programming

SQL proficiency

Docker

Kubernetes

Tools

Terraform

ML observability tools

Jobbeschreibung

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 (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

• 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 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!

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