Senior Software Engineer, Docker Agents

Posted 89ds ago

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Senior Software Engineer building containerized AI agent systems at Docker. Collaborating with cross-functional teams on innovative AI solutions.

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 Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience

Go Expertise: Strong proficiency in Go (this is absolutely required)
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, LangChain/LangGraph or similar AI orchestration frameworks (preferred)
Python Proficiency: Experience with Python for AI prototyping and tooling (preferred)
Experience with Kubernetes or container orchestration platforms (preferred)
Open source contributions and community engagement (preferred)
Experience with agent evaluation, reliability, and observability techniques (preferred)

Freedom & flexibility; fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup; we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity; we are a growing start-up and want all employees to have a share in the success of the company
Docker Swag
Medical benefits, retirement and holidays vary by country
Remote-first culture, with offices in Seattle and Paris