Senior Software Engineer, Agents

Docker has been one of the most loved brands in developer tooling trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the worlds largest companies developers rely on Docker to build share and run their applications across our suite of products including Docker Desktop Docker Hub and Docker Scout.

We are a globally distributed remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development Docker is at the center of that shift providing the sandboxed environments verified images and secure infrastructure that make autonomous workflows trustworthy by default.

Join Dockers AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents - providing isolation portability and reproducibility.

Youll be working on Docker Agent our open-source project ( and expanding on it to enable developers to build deploy and scale intelligent agents using Dockers container technology.

This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. Youll work alongside a team of seasoned engineers collaborating with our sister teams working on Ask Gordon and Dockers broader AI platform. This is a unique opportunity to combine cutting-edge AI techniques with container technology to solve real-world developer problems.

Please note: this role is only available to candidates currently located in London (or reasonable commuting distance to London). We are unable to make exceptions to this location requirement. This role is remote-first with a flexible hybrid schedule.

• Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents ensuring isolation scalability and portability

• Expand cagent: Maintain and evolve the open-source cagent project adding new capabilities for containerized agent deployment and orchestration

• Agent Runtime Development: Build robust infrastructure for packaging deploying and managing agents in containers

• RAG Integration: Enhance agent capabilities with Retrieval-Augmented Generation systems to provide contextual knowledge and domain expertise (secondary focus)

• Evaluation & Testing: Design robust evaluation frameworks to measure agent performance reliability and containerized deployment effectiveness

• Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns moving from concept to production efficiently

• Open Source Community: Engage with the cagent community review contributions and help grow the ecosystem

• Cross-functional Collaboration: Work closely with product managers designers and engineers across Dockers AI teams to integrate containerized agent capabilities into Dockers developer experience

• On-Call Rotation: This role may require participation in an on-call rotation to provide support outside of standard business hours including evenings weekends and holidays as needed.

• Go Expertise: Strong proficiency in Go is highly desired (if youre not proficient then we will look for your ability/willingness to ramp up and work in Go - this is Dockers primary language for backend systems)

• AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development

• System Architecture: Proven ability to design scalable distributed systems

• Container Technology: Deep understanding of Docker containerization best practices and container orchestration

• RAG Systems: Experience building Retrieval-Augmented Generation systems (secondary focus)

• Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback

• AI Frameworks:
  Experience with CrewAI AGNO ADK Lang Chain/Lang Graph or similar AI orchestration frameworks (peferred)

• Python Proficiency:
  Experience with Python for AI prototyping and tooling (prefered)

• Experience with Kubernetes or container orchestration platforms (preferred)

• Open source contributions and community engagement (preferred)

• Experience with agent evaluation reliability and observability techniques (preferred)