Related skills
docker aws python kubernetes rag📋 Description
- Designing, developing, deploying, and optimizing intelligent AI agents.
- Owning end-to-end infra to deploy and scale multi-agent crews.
- Stay up to date with AI advances and integrate new techniques.
- Develop methods/tools for testing agents and ensure robustness.
- Collaborate with engineers, data scientists, and product teams.
- Contribute to engineering standards and technical direction.
🎯 Requirements
- Strong Python skills; production-grade backend systems.
- Software engineering best practices including version control.
- Testing, CI/CD, observability, and infrastructure-as-code.
- Experience deploying cloud apps at scale (AWS, Azure, GCP).
- Docker and Kubernetes experience.
- Translate complex requirements into scalable designs; communicate clearly.
- Experience making architectural trade-offs and owning outcomes.
- Strong communication and collaboration; mentoring juniors.
🎁 Benefits
- Hybrid work with teams in Copenhagen and London.
- Global, diverse engineering team.
- Work on agentic AI and next-gen systems.
- Collaborate with data scientists and product teams.
- Exposure to cutting-edge AI tech and tools.
- Opportunity to shape agentic AI at a leading brand.
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