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
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

2 Docker jobs in England & Wales