Remote Senior Go Engineer - Containerized AI Agents
Docker, Inc.
Greater London
On-site
GBP 75,000 - 100,000
Full time
14 days+
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Benefits offered by this job
Freedom & flexibility; fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
16 weeks of paid parental leave
Technology stipend of $100 net/month
PTO plan
Training stipend for conferences, courses, and classes
Equity
Docker Swag
Medical benefits, retirement, and holidays vary by country
Job summary
A leading containerization technology company is seeking a talented engineer to join their AI team in London. This role involves building containerized agent systems and expanding the cagent open-source project. Ideal candidates will have strong Go expertise, experience in AI/ML, and a background in designing scalable systems. Additional qualifications include a Bachelor's in Computer Science or related fields. The company offers flexible working conditions and various employee perks.
Qualifications
Strong proficiency in Go, Docker’s primary backend language.
Practical experience with large language models and agent development.
Proven ability to design scalable, distributed systems.
Responsibilities
Design and implement systems leveraging Docker containers for AI agents.
Maintain and evolve the open-source cagent project.
Build infrastructure for packaging and deploying agents in containers.
Skills
Go Expertise
AI/ML Knowledge
System Architecture
Container Technology
Rapid Iteration
Education
Bachelor’s degree in Computer Science, Engineering, or a related field
Tools
Kubernetes
Python
AI Frameworks (CrewAI, AGNO, ADK, LangChain)
Job description
A leading containerization technology company is seeking a talented engineer to join their AI team in London. This role involves building containerized agent systems and expanding the cagent open-source project. Ideal candidates will have strong Go expertise, experience in AI/ML, and a background in designing scalable systems. Additional qualifications include a Bachelor's in Computer Science or related fields. The company offers flexible working conditions and various employee perks.