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Senior AI Scientist (Agentic AI)- Vendor Data Team

Delivery Hero

Berlin, GermanyPosted 14 days agoFull-time

Job details

Company

Delivery Hero

Location

Berlin, Germany

Employment type

Full-time

Seniority

Mid level

Primary category

Software Development

Posted date

22 Apr 2026

Valid through

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

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