Related skills
docker python kubernetes llms langchainπ Description
- Stay up-to-date with agentic AI advancements and add new capabilities when needed.
- Develop, deploy, and optimize intelligent AI agents to meet project goals.
- Build end-to-end infra to deploy, orchestrate, and scale multi-agent crews across cloud and on-prem.
- Develop methods and tools for continuously testing agents for performance and robustness.
- Collaborate with engineers, data scientists, business architects, and value engineers to design agentic solutions.
π― Requirements
- Strong programming skills in Python, with experience building production-grade systems.
- Solid understanding of software engineering practices, including version control, testing, CI/CD, and observability.
- Experience developing, deploying, and maintaining cloud-based applications.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Extensive hands-on experience with LLMs and agentic technologies (LangChain/LangGraph, CrewAI, AutoGen) and agentic protocols (MCP, A2A).
- Experience with vector databases and embedding-based architectures.
π Benefits
- Work at the cutting edge of agentic AI for global clients like Coke and IKEA.
- Collaborate with top AI experts and leaders in a dynamic team.
- Join a global hub in Athens with opportunities across offices worldwide.
- Your work will shape the future of AI-driven collaboration and automation.
- Grow your expertise in one of AI's fastest-growing fields with development.
- Competitive salary and benefits in a forward-thinking, supportive environment.
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