- Jobs
- appliedAI Initiative
- Generative AI Engineer
Generative AI Engineer
Full-timeMid
AI Tools
AutoGenAzure AI FoundryLangChainLangGraph
Tech Stack
PythonLangChainLangGraphAutoGenAzureAWSGCPDockerCI/CD
Agent Workflow
Design and implement RAG solutions, agentic workflows, and multi-agent systems. Bridge AI research and software engineering for robust, scalable production systems.
About the Role
The appliedAI Initiative elevates Europe's industry to become shapers in the age of AI through partnerships and comprehensive programs.
Position: Generative AI Engineer (m/f/x)
Company: appliedAI Initiative GmbH
Locations: Munich (81671) and Heilbronn (74076), Germany
Work model: Hybrid (office or remote flexibility)
About the role:
This role sits at the intersection of AI research and software engineering, focusing on transforming AI advancements into real-world solutions that drive business innovation across industries.
Responsibilities:
- Design and implement RAG solutions, agentic workflows, and multi-agent systems
- Develop production-ready AI applications leveraging Generative AI and multi-agent systems to solve complex business challenges
- Bridge AI research and software engineering for robust, scalable systems
- Leverage LLM advancements for customer value
- Collaborate with AI experts and external partners on production-ready solutions
Requirements:
- At least 2 years of experience in a comparable engineering role, Software Development, or a related field
- Strong expertise in machine learning, deep learning, and generative AI
- Python proficiency
- GenAI frameworks: LangChain, LangGraph, AutoGen, Azure AI Foundry, Computer Use
- Transformer architectures and embedding models
- Prompt engineering techniques (chain of thought)
- AI Agent frameworks
- DevOps/MLOps practices, containerization, CI/CD
- Cloud platforms: Microsoft Azure, AWS, or GCP
- Educational background in Data Science, Machine Learning, Mathematics, Physics, or similar
- Fluent German and English required
- Plus: Vision Language Models (VLM) and open-source SLMs experience
Benefits:
- Team of ~90 people
- Flexible workation (up to 3 months/year in EU/EWR)
- Sabbatical option (3 months after 3 years)
- Sports membership (Wellpass)
- Professional development budget (no fixed cap)
- JobRad bike leasing
- Monthly mobility budget
- Family support services (PME)
Posted: November 7, 2025 (still active)