Want to take AI from chatbots to autonomous agents?

We are pioneers in Agentic AI: our platforms combine powerful LLMs with multi-agent orchestration and responsible AI practices. As a Senior Agentic AI Engineer, you will implement complex architectures – from ReAct strategies and GraphRAG to tool use and reflection. You ensure that agents act reliably, securely, and transparently, thereby driving our customers' success.

Tasks & Responsibilities

Design and implementation of advanced agent architectures: multi-agent systems with autonomous planning and reflection loops, GraphRAG, and tool orchestration
Use of Azure AI Foundry, Microsoft Agent Framework, and open-source libraries (LangChain, CrewAI) to orchestrate complex workflows; integration of enterprise data via RAG
Development of monitoring and observability frameworks for agents, including telemetry, logging, and performance evaluations.
Developing and enforcing responsible AI principles: data protection, ethics, fairness, and security
Mentoring junior team members; technical leadership and reviews; participation in architecture roadmaps
Working closely with customers and management to identify use cases and evaluate business benefits

What we offer you

Flexible working: Trust-based working hours and remote/hybrid model, provided you are based in Germany
State-of-the-art tech stack: Access to Azure AI Foundry, Copilot Studio, LangChain & LangGraph and our data lakehouse (Delta Lake, Fabric)
Investment in your future: Budget for AI training, certifications, and conference attendance; participation in research projects
Diversity & Purpose: We actively promote diversity, equality, and inclusion; our projects support sustainable and socially relevant goals
Leadership influence: You will shape technical strategies, establish governance processes, and drive innovation in a rapidly growing team

As a dynamic company, we encourage independent work, continuous learning, and a culture where everyone can contribute ideas. If you want to be at the forefront of Agentic AI development while experiencing a work environment that combines transparency, diversity, and well-being, we look forward to receiving your application!

Requirements

At least 5 years of experience in AI/ML engineering, software architecture, or data-driven product development; extensive practice with generative and agentic systems
Very good knowledge of Python; experience with RAG architectures, vector databases, GraphRAG, prompt engineering, and multi-agent frameworks
Familiar with DevOps/MLOps methods and infrastructure-as-code (Terraform, Bicep) as well as containerization (Docker, Kubernetes)
Ability to communicate complex issues in a way that is understandable to non-technical stakeholders
Fluent German and very good English (spoken and written)

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