Senior AI Scientist (Agentic AI)- Vendor Data Team at Delivery Hero

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

17 Aug, 26

Salary

0.0

Posted On

19 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, LangChain, LlamaIndex, Haystack, RAG, LLM Mechanics, Prompt Design, Vector Databases, Pinecone, Weaviate, FAISS, LangGraph, PydanticAI, Google ADK, Claude SDK, API Development

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 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 Senior AI Scientist (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. As part of our Vendor Team, you’ll be the driving force behind the success of thousands of restaurants, shops, and local businesses. Your contributions will empower vendors with advanced tools to manage their operations, boosting their visibility and reach. Every feature you help build will create growth opportunities for businesses of all sizes, strengthening Delivery Hero’s ecosystem and impact. You will 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 LLMs, autonomous agents, and RAG to move beyond static prompts and chatbots into dynamic AI systems that solve real problems at scale. Architect and deploy agent-based systems using LangGraph, PydanticAI, LangChain, Google ADK, Claude SDK, or custom-built orchestration frameworks Build and optimize RAG pipelines — from smart chunking to embedding strategies and vector search Design self-evolving prompt systems and dynamic decision flows driven by LLMs Develop APIs and services that let models talk to tools, data, and other systems Monitor, evaluate, and automate model feedback loops using AI-based simulation and testing agents Work cross-functionally with product and engineering teams to ship AI-native features, not just prototypes Qualifications 2+ years of experience in applied AI/ML engineering with real-world deployments Strong Python skills and experience with frameworks like LangChain, LlamaIndex, or Haystack - Deep knowledge of RAG, LLM mechanics, prompt design, and chaining Experience with vector databases (Pinecone, Weaviate, FAISS) and embedding models You take ownership. If something is unclear or blocked, you figure it out or find a way around it. You move fast but don’t cut corners — you care about quality and impact. You believe working code beats perfect plans, and that iteration is the fastest way to clarity. Nice to have: Open-source model experience (e.g., LLaMA2, Mixtral, Mistral) or custom inference stacks - Judge models, feedback loops, or human-in-the-loop architecture Experience designing test harnesses using agent personas or synthetic users Familiarity with prompt injection mitigation, output validation, or agent safety Background in shipping AI inside real-world web or mobile products 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

Architect and deploy agent-based AI systems and RAG pipelines to move beyond static prompts into autonomous orchestration. Develop APIs and services that enable models to interact with tools and data to solve real-world problems at scale.