We are looking for an AI Engineer to join the Logistics Data & Machine Learning Platform team on our journey to always deliver amazing experiences.
In our Logistics Team youll 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 teams 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 contribute to the core AI agent platform helping build infrastructure and services that power production AI applications used across the company.
As an AI Engineer you will contribute to building scalable systems that support LLM-powered agents intelligent automation and data-aware AI services. This role combines AI engineering backend development and ML systems with a strong focus on building reliable systems and learning how to operate AI workloads in production.
In this role you will
Contribute to building AI agents that interact with internal tools APIs and data systems.
Assist in developing and maintaining Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic retrieval systems.
Support the development of evaluation frameworks and guardrails to improve response quality and reliability of LLM-powered systems.
Help implement monitoring and observability for AI workloads to track performance usage and system health.
Collaborate with data scientists ML engineers and platform engineers to integrate AI systems into the broader data and ML ecosystem.
Participate in experimenting with new AI frameworks tools and approaches to improve the platform
Qualifications :
Experience working with Python and building backend services or ML applications.
Familiarity with large language models or AI applications (LLM APIs RAG chatbots etc.).
Basic experience with cloud platforms such as AWS or GCP.
Understanding of software engineering best practices including testing debugging and version control.
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 youre in good shape then were 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 well 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 weve 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.
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 experiencejust let us know with an email to our Inclusion Officer at it in your application.
Severely disabled applicants with equal qualifications will be given preferential consideration.
Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.
Remote Work :
No
Employment Type :
Full-time
As the worlds leading 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 but driven by people. As one of Europes largest tech platforms, we enable ambitious talent to del ... View more