Senior Software Engineer - Containerized AI Agents (Remote)

Docker; England; Remote; GBP 70,000 - 88,000; Full time

Job summary

A technology company is looking for a Senior Software Engineer to join their AI engineering team. Responsibilities include designing systems for AI agents using Docker containers, maintaining the cagent project, and enhancing capabilities with RAG systems. Required qualifications include strong proficiency in Go, AI/ML knowledge, and system architecture experience. This is a remote position available to candidates in Europe and the Eastern United States.

Benefits

Freedom & flexibility

Quarterly Whaleness Days

Home office setup

16 weeks of paid Parental leave

Technology stipend

PTO plan

Quarterly hackathons

Training stipend

Equity in the company

Docker Swag

Medical benefits and retirement plans

holidays vary by country

Qualifications

• Strong proficiency in Go, Docker's primary language for backend systems.
• Practical experience with large language models and agent development.
• Proven ability to design scalable, distributed systems.
• Deep understanding of Docker, containerization best practices, and orchestration.
• Demonstrated ability to prototype quickly and iterate based on feedback.

Responsibilities

• Design and implement systems using Docker containers for AI agents.
• Maintain and evolve the open-source cagent project.
• Build robust infrastructure for packaging and deploying agents.
• Enhance agent capabilities with RAG systems.
• Design evaluation frameworks for agent performance.
• Engage with the cagent community and grow the ecosystem.

Skills

Go Expertise

AI/ML Knowledge

System Architecture

Container Technology

RAG Systems

Rapid Iteration

AI Frameworks

Python Proficiency

Kubernetes Experience

Open Source Contributions

Job description

A technology company is looking for a Senior Software Engineer to join their AI engineering team. Responsibilities include designing systems for AI agents using Docker containers, maintaining the cagent project, and enhancing capabilities with RAG systems. Required qualifications include strong proficiency in Go, AI/ML knowledge, and system architecture experience. This is a remote position available to candidates in Europe and the Eastern United States.