Related skills
docker python kubernetes go llms📋 Description
- Build Containerized Agent Systems: design and implement systems using Docker containers for AI agents
- Expand cagent: maintain and evolve the open-source project for containerized deployment and orchestration
- Agent Runtime Development: build infrastructure for packaging, deploying, and managing agents in containers
- RAG Integration: enhance agent capabilities with Retrieval-Augmented Generation
- Evaluation & Testing: design robust evaluation frameworks for agent performance and deployment
- Rapid Prototyping: iterate quickly on new agent capabilities to production
🎯 Requirements
- Go Expertise: strong proficiency in Go (required)
- AI/ML Knowledge: practical experience with LLMs and agent development
- System Architecture: ability to design scalable, distributed systems
- Container Technology: deep understanding of Docker, containerization, and orchestration
- RAG Systems: experience building Retrieval-Augmented Generation systems
- Rapid Iteration: prototype quickly and iterate based on feedback
🎁 Benefits
- Freedom & flexibility; fit your work around your life
- Home office setup; comfortable while you work
- 16 weeks of paid Parental leave
- Technology stipend $100 net/month
- Equity; share in company success
- Remote-first culture, with offices in Seattle and Paris
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