Senior AI Engineer - Agentic AI Platform

Das ist der Job

Job description Want to take AI from chatbots to autonomous agents?

Darum lohnt es sich

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.

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.

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!

Job requirements 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) All done!

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