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Senior AI Engineer; Agentic AI at Delivery

in 10115, Berlin, Berlin, Deutschland
Unternehmen: Victrays
Vollzeit position
Verfasst am 2026-02-21
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Künstliche Intelligenz Ingenieur, Maschinelles Lernen
Gehalts-/Lohnspanne oder Branchenbenchmark: 60000 - 80000 EUR pro Jahr EUR 60000.00 80000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: Senior AI Engineer (Agentic AI) at Delivery Hero

Senior AI Engineer (Agentic AI) at Delivery Hero – Berlin, Germany 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

About the opportunity

We are on a lookout for a hands‑on Senior AI Engineer 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.

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 large language models (LLMs), autonomous agents, and retrieval‑augmented generation (RAG) to move beyond static prompts and chatbots into dynamic AI systems that solve real problems at scale.

We don’t treat LLMs as tools to micromanage — we treat them as collaborators. Our products are designed to build and evolve themselves, leveraging AI to orchestrate workflows, make decisions, and continuously improve. If you’re ready to stop building brittle bots and start building AI that builds AI — this is your playground.

  • Architect and deploy agent‑based systems using Lang Chain, CrewAI, Auto Gen, 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 Lang Chain, Llama Index, 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, Yoga, Gym & Bicycle Subsidy

Cash. Dough. Cheddar. Whatever you call it,…

Stellen-Anforderungen
10+ Jahre Berufserfahrung
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