Senior Machine Learning Engineer, Python - (Logistics, Agentic AI) at Delivery Hero

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

09 Aug, 26

Salary

0.0

Posted On

11 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, LLM, AI Agents, RAG, Vector Databases, AWS, GCP, Machine Learning Infrastructure, Backend Services, Kubernetes, Terraform, Kafka, MLflow, Kubeflow, LangChain, PyTorch

Industry

technology;Information and Internet

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 over 70+ 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 the lookout for a Senior AI Engineer to join the Logistics Data & Machine Learning Platform team on our journey to always deliver amazing experiences. In our Logistics Team, you’ll tackle high-impact challenges that make last-mile delivery efficient, affordable, and sustainable. Your work will directly improve experiences for riders, end customers, and merchants across the globe. Each enhancement you contribute will help Delivery Hero optimize delivery operations, supporting expansion into new areas like grocery and retail. The Data & ML Platform team’s mission is to enable teams across the organization to build, deploy, and scale intelligent products powered by data and machine learning. As part of this team, you will work on the core AI agent platform, building reliable infrastructure and services that power production AI applications used across the company. As a Senior AI Engineer, you will help design and operate scalable systems that enable LLM-powered agents, intelligent automation, and data-aware AI services. This role combines AI engineering, platform engineering, and ML systems design, with a strong focus on reliability, scalability, and production impact. In this role you will, Build and scale AI agents capable of reasoning, tool calling, and interacting with internal services and data systems. Develop and maintain Retrieval-Augmented Generation (RAG) pipelines using vector databases & semantic retrieval systems to enable agents to access knowledge and enterprise data. Design and implement evaluation frameworks & safety guardrails for agent behaviour, model performance, and response quality. Implement observability, monitoring, and cost visibility for LLM and agent workloads to ensure reliability, performance, and operational efficiency. Collaborate closely with data scientists, ML engineers, and platform engineers to integrate AI systems with the broader data and ML ecosystem. Optimize systems for performance, reliability, and cost efficiency while operating AI workloads at scale. Qualifications Proven experience shipping LLM-powered systems or AI agents into production. 4+ years experience in production machine learning infrastructure particularly systems involving LLMs. Strong programming skills in Python, with experience building scalable backend services. Experience with Cloud - ideally AWS/GCP Strong communication skills and the ability to work collaboratively in cross-functional teams. Nice to have Experience with Kubernetes, Terraform, Kafka, MLflow, or Kubeflow. Experience using LLM application frameworks such as LangChain, LangGraph, LlamaIndex, or similar agent orchestration tools. Experience with ML frameworks such as Hugging Face or PyTorch. 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 [email protected]. 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.

Responsibilities

Design and scale AI agents and RAG pipelines to power production AI applications within the logistics ecosystem. Implement evaluation frameworks, safety guardrails, and observability for LLM workloads to ensure reliability and cost efficiency.