Senior AI Developer Tools Engineer (Remote-First)

Docker; Oregon; Hybrid; USD 161,000 - 261,000; Full time

Benefits offered by this job

Remote-first by design

Home office stipend

Equity for all full-time

Job summary

Docker is seeking a Senior Software Engineer to build AI-powered developer tools and the platform behind them. You will work at the intersection of AI, developer experience, and platform engineering to prototype, deploy, and scale AI developer tools across the Docker platform.

You will design, build, and operate AI agents, integrate LLM providers, and contribute to a self-service platform that enables Docker engineers to adopt AI-native development workflows.

Qualifications

• 6+ years of software engineering experience building and operating production systems.
• Hands-on experience building LLM-powered applications, AI agents, or AI-assisted developer tools.
• Working knowledge of LLM APIs, prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows.
• Experience with cloud-native infrastructure including Kubernetes, CI/CD pipelines, and observability systems.

Responsibilities

• Design, build, and operate production AI agents and developer tools.
• Integrate LLM providers and agent orchestration frameworks into reliable tools.
• Build self-service platform components for Docker AI tooling.
• Contribute to deployment pipelines, observability, and security controls for AI systems.

Skills

LLM-powered apps

Kubernetes

CI/CD

Go/Python

DevTools/Platform experience

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

Kubernetes

ArgoCD

Grafana

CI/CD pipelines

Job description

Docker is seeking a Senior Software Engineer to build AI-powered developer tools and the platform behind them. You will work at the intersection of AI, developer experience, and platform engineering to prototype, deploy, and scale AI developer tools across the Docker platform.

You will design, build, and operate AI agents, integrate LLM providers, and contribute to a self-service platform that enables Docker engineers to adopt AI-native development workflows.