Required skills
- Agentic AI
- Multi-agent Architectures
- LangGraph
- Human-in-the-Loop
- Transformer Architectures
- Attention Mechanisms
- Tool-Calling
- A2A Protocol
- MCP Protocol
- Prompt Engineering
- Semantic Search
- Retrieval-Augmented Generation (RAG)
- LLMs
- Python
- Async Python
- FastAPI
- Starlette
- MLflow
- Vector Databases
- pytest
- pytest-asyncio
- Architecture Decision Records (ADRs)
- CI/CD
- Azure DevOps
- GitHub Actions
- Monitoring
- Error Analysis
- System Operations
- English
Nice to have:AI ObservabilityExperiment TrackingLLM EvaluationOpenTelemetryDynatraceKibanaCloud FoundryDatabricksSAP AI CoreSAP AI LaunchpadSAP SDKSAP Generative AI HubIdentity PropagationAuthorization ConceptsRuffmypypre-commitN8NEU AI ActAI Ethics
Languages: German · English
Job description
Seeking a Senior Agentic System Engineer with expertise in AI architecture, LangGraph, and Python for a client project. The role involves developing agentic AI systems and managing backend technologies.
Project overview
For our client, we are looking for a Senior Agentic System Engineer.
Must-haves:
Nice-to-haves:
Do you have time and interest in an exciting project?
Then we look forward to hearing from you!
- Agentic AI and Architecture
- Experience in developing agentic AI systems and multi-agent architectures with LangGraph
- Knowledge of Human-in-the-Loop, Transformer architectures, Attention, and Tool-Calling
- Experience with A2A and MCP protocols
- Profound knowledge of Prompt Engineering, Semantic Search, and RAG
- Understanding of LLM deployment and differentiation from deterministic processes
- Technology and Backend
- Very good Python skills, especially Async Python 3.13
- Experience with FastAPI or Starlette
- Knowledge of MLflow and Vector databases
- Experience with pytest and pytest-asyncio
- Architecture and Operations
- Experience with Architecture Decision Records (ADRs), CI/CD, and Azure DevOps or GitHub Actions
- Competence in cross-team coordination of interfaces and data models
- Responsibility for monitoring, error analysis, and system operations
- Fluent English skills and experience in international teams
- Experience with AI Observability, Experiment Tracking, and LLM Evaluation
- Knowledge of OpenTelemetry, Dynatrace, or Kibana
- Experience with Cloud Foundry, Databricks, and MLflow
- Knowledge of SAP AI Core, AI Launchpad, SDK, and Generative AI Hub
- Experience with Identity Propagation and authorization concepts
- Knowledge of Ruff, mypy, pre-commit, and N8N
- Understanding of the EU AI Act and ethical requirements for AI systems
Project details
- Start: Dezember 2026
- Duration: 6 Monate ++
- Remote: remote
- Location: Remote, DE
- Languages: German, English
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