At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike.

Join Docker’s AI engineering team as a Senior AI Engineer to help shape the future of developer tooling through artificial intelligence. We’re building Ask Gordon, an AI assistant that powers Docker Desktop and CLI, transforming how millions of developers interact with containerization technology.

You’ll work alongside a team of seasoned engineers to take our successful AI product to the next level, expanding usage and Gordon’s deployment. This is a unique opportunity to apply cutting-edge AI techniques to real-world developer problems at massive scale.

Responsibilities

• Advance AI Capabilities: Enhance Ask Gordon’s ability to understand complex technical questions and provide accurate, actionable responses about Docker, containerization, and development workflows
• RAG System Enhancement: Improve our Retrieval-Augmented Generation pipeline to better understand Docker documentation, code repositories, and technical knowledge sources
• Evaluation & Testing: Design and implement robust evaluation frameworks to measure AI performance, accuracy, and user satisfaction
• Model Development & Fine-tuning: Train, fine-tune, and optimize language models specifically for Docker’s technical domain and use cases
• Rapid Prototyping: Iterate quickly on new AI features and capabilities, moving from concept to production efficiently
• Cross-functional Collaboration: Work closely with product managers, designers, and other engineers to integrate AI capabilities seamlessly into Docker’s developer experience

Qualifications

• AI/ML Expertise: 3+ years of hands-on experience with machine learning models, particularly large language models (LLMs)
• RAG Systems: Practical experience building and optimizing Retrieval-Augmented Generation systems
• Model Training & Fine-tuning: Proven experience training, fine-tuning, or adapting models for specific domains or use cases
• Evaluation Frameworks: Experience designing and implementing AI evaluation methodologies and metrics
• Programming Skills: Proficiency in Go (primary at Docker) and Python
• AI Frameworks: Experience with LangChain/LangGraph or similar AI orchestration frameworks
• Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on user feedback
• Experience with containerization technologies (Docker, Kubernetes) or developer tooling (preferred)
• Knowledge of vector databases and semantic search technologies (preferred)
• Experience with AI safety, hallucination detection, and reliability techniques (preferred)

What to Expect

First 30 Days: Integrate into our dynamic AI engineering team building intelligent developer assistance, deepen knowledge of Ask Gordon’s architecture, Docker’s AI platform, and our technical stack, contribute to your first AI model improvements or RAG system enhancements, and understand our evaluation frameworks.

First 90 Days: Continue to enhance and optimize our AI models and systems, improve our RAG pipeline and evaluation frameworks, deepen your knowledge of Docker’s ecosystem and developer workflows, help other new team members onboard, and regularly interact with internal stakeholders and analyze user feedback.

One-Year Outlook: Lead significant AI capability improvements that directly impact millions of Docker users, continue to help grow the team and develop more efficient AI development processes, embrace data-driven tracking and reporting of how AI features increase developer productivity, contribute to model fine-tuning and performance optimization across our AI platform, grow your skills beyond AI modeling into enterprise-grade AI system architecture and deployment, and drive initiatives to expand Ask Gordon’s capabilities for enterprise use cases.

We offer freedom and flexibility, designated quarterly Whaleness Days, home office setup, 16 weeks of paid Parental leave, technology stipend, PTO plan, training stipend, equity, Docker Swag, and medical benefits, retirement, and holidays that vary by country.

Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.

Please note that due to the remote nature of this role, we are unable to provide visa sponsorship.