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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.
Job Responsibility:
Architect and deploy agent-based systems using LangGraph, PydanticAI, LangChain, Google ADK, Claude SDK, or custom-built orchestration frameworks
Build and optimize RAG pipelines
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
Requirements:
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
You move fast but don't cut corners
You believe working code beats perfect plans
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
What we offer:
Hybrid working model with 2 days per week in Berlin campus
27 days holiday with an extra day on 2nd and 3rd year of service