Related skills
python kubernetes langgraph retrieval-augmented generation autogen📋 Description
- Build, implement, and deploy agentic platforms in client environments.
- Develop scalable AI-driven solutions with LLM-powered agents.
- Collaborate with client stakeholders and delivery teams to roll out capabilities.
- Integrate agentic platforms with APIs, data platforms, cloud services, and apps.
- Design deployment architectures across cloud, on-prem, and hybrid.
- Travel frequently to U.S. client sites; travel expenses covered.
🎯 Requirements
- 8+ years of commercial engineering experience.
- Experience designing agentic platforms using Python and modern AI frameworks.
- Architect LLM orchestration with LangGraph, CrewAI, AutoGen.
- Implement multi-agent systems with tool use, workflow, memory, and decision-making.
- Design RAG pipelines integrating enterprise data sources.
- Configure Kubernetes and deploy workloads.
🎁 Benefits
- Annual company bonus (profit share)
- Remote work & flexible schedule
- Flexible time off policy
- Remote working allowance up to €1250
- Training allowance up to €1000
- Healthcare and 401k with 4% match
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