Job
- Level
- Senior
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Data, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In diesem Job entwickelst du skalierbare AI-Agenten und RAG-Pipelines, implementierst Überwachungs- und Evaluierungsframeworks und optimierst Systeme für zuverlässige und kosteneffiziente KI-Anwendungen.
Job Technologien
Deine Rolle im Team
- 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.
Unsere Erwartungen an dich
Qualifikationen
- Strong communication skills and the ability to work collaboratively in cross-functional teams.
Erfahrung
- Must have: Proven experience shipping LLM-powered systems or AI agents into production.
- 4+ years experience in production machine learning and/or backend engineering, particularly systems involving LLMs.
- Strong programming skills in Python, with experience building scalable backend services.
- Experience with Cloud - ideally AWS/GCP.
- 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.
Unser Angebot
- Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu.
- 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.
- 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.
Benefits
Essen & Trinken
Work-Life-Integration
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Delivery Hero SE
Niklas Östberg gründete Delivery Hero im Mai 2011 und startete seine Reise, um ein führendes global agierendes Unternehmen im Bereich Online-Essensbestellungen aufzubauen. Sein Gründungsteam, das mit Mitgliedern von Team Europe vervollständigt wurde, teilte sich Jahrzehnte an Wissen über die Arbeit mit Internetunternehmen. Genauso wichtig war jedoch, dass sie eine Vision für die Zukunft der Online-Essensbestellung teilten. Gemeinsam mit einem ausgewählten und leidenschaftlichen Team gelang es ihnen tatsächlich, das Geschäft auf die heutige Stufe zu katapultieren.
Description
- Gründungsjahr
- 2011
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Handel
Arbeitgeber-Reviews
von devworkplaces.com
Gesamt
(1 Bewertung)3.2
Career Growth
3.2Culture
3.2Engineering
2.7Workingconditions
3.8
Senior AI Engineer
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
