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

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

Architect and deploy agent-based systems using LangChain, CrewAI, AutoGen, 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.

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
Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan
Digital Meal Vouchers, Food Vouchers, Corporate Discounts, Courses