Remote Staff Software Engineer, Docker Agents

• Partner with engineering leadership to help set technical direction and serve as a guide and mentor as the team grows
• Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability
• Maintain and evolve our open-source cagent project, adding new capabilities for containerized agent deployment and orchestration
• Build robust infrastructure for packaging, deploying, and managing agents in containers
• Enhance agent capabilities with Retrieval-Augmented Generation systems
• Design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness
• Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently
• Engage with the cagent community, review contributions, and help grow the ecosystem
• Work closely with product managers, designers, and engineers across our AI teams to integrate containerized agent capabilities into our developer experience
• Participate in on-call rotation, respond to incidents, debug production issues, and drive continuous improvement of system reliability
• Integrate into our AI engineering team and collaborate with sister AI teams
• Deep dive into cagents architecture and our containerized agent deployment roadmap
• Contribute enhancements to cagent with team support
• Lead significant features or improvements to cagent and our containerized agent platform
• Help other new team members onboard
• Regularly interact with internal stakeholders and analyze user feedback
• Drive major architectural decisions for our containerized agent platform
• Continue to help grow the team and develop efficient agent development processes
• Contribute to evaluation frameworks and performance optimization across our agent systems
• Lead initiatives to expand containerized agent capabilities for enterprise use cases
• Shape the future direction of cagent and our agent ecosystem

Technologies:

• AI
• Docker
• Support
• Kubernetes
• Python
• Backend
• GitHub

• Strong, demonstrated, professional proficiency in Go
• Practical experience with large language models (LLMs) and agent development
• Proven ability to design scalable, distributed systems
• Deep understanding of Docker, containerization best practices, and container orchestration
• Experience building Retrieval-Augmented Generation (RAG) systems
• Demonstrated ability to prototype quickly and iterate based on feedback
• Experience with AI orchestration frameworks such as CrewAI, AGNO, ADK, LangChain, or LangGraph
• Experience with Python for AI prototyping and tooling
• Experience with Kubernetes or container orchestration platforms
• Open source contributions and community engagement
• Experience with agent evaluation, reliability, and observability techniques
• 8+ years of directly applicable experience
• Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• Must be currently located in London or within a reasonable commuting distance
• No visa sponsorship available for this role