Related skills
react python kubernetes apis rag📋 Description
- Build, implement, and deploy agentic platforms in client environments.
- Deploy AI-driven solutions to operationalise LLM-powered agents.
- Collaborate with client stakeholders and delivery teams to integrate capabilities with enterprise systems.
- Travel to client sites across Europe (expenses covered).
- Design deployment architectures across cloud, on-prem, and hybrid environments.
- Configure Kubernetes and deploy workloads.
🎯 Requirements
- Significant senior-level experience (8+ years).
- Experience designing and building agentic platforms using Python and modern AI frameworks.
- Architect LLM orchestration with LangGraph, CrewAI, AutoGen.
- Implement multi-agent systems enabling tool use, workflow orchestration, memory, and decision-making.
- Design and deploy Retrieval-Augmented Generation (RAG) pipelines with enterprise data sources.
- Integrate agentic platforms with client systems via APIs, data platforms, cloud services, and apps. Kubernetes experience a plus.
🎁 Benefits
- Annual company bonus up to share of profits.
- Remote and flexible working culture.
- Paid time off: 24 days + holidays.
- Remote working allowance up to €1250 every 2 years.
- Training and development allowance up to €1000.
- Private healthcare and pension & insurances.
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