Staff Software Engineer, Docker Agents

About the Role

Join Docker's innovative AI engineering team as a Staff Software Engineer to build the future of containerized AI agents. This greenfield opportunity allows you to shape how developers leverage Docker's container technology to build, deploy, and scale intelligent agents at massive scale, working on the open-source cagent project.

Responsibilities

• Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability.
• Maintain and evolve the 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 (RAG) systems to provide contextual knowledge and domain expertise (secondary focus).
• Design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness.
• Rapidly prototype new agent capabilities and deployment patterns, moving from concept to production efficiently.
• Engage with the cagent community, review contributions, and help grow the ecosystem.
• Collaborate closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience.

Requirements

• Strong proficiency in Go, Docker's primary language for backend systems.
• 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 (secondary focus).
• Demonstrated ability to prototype quickly and iterate based on feedback.

Nice-to-Haves

• Experience with AI orchestration frameworks such as CrewAI, AGNO, ADK, LangChain/LangGraph, or similar.
• Proficiency in Python for AI prototyping and tooling.
• Experience with Kubernetes or other container orchestration platforms.
• Contributions to open-source projects and community engagement.
• Experience with agent evaluation, reliability, and observability techniques.

About the Team and Impact

You will collaborate with a team of seasoned engineers and sister AI teams, combining cutting-edge AI techniques with container technology to solve real-world developer problems. This role offers a unique chance to drive major architectural decisions for our containerized agent platform, impacting millions of Docker users and contributing to the growth of the Docker agent ecosystem.