Senior AI Engineer

Senior AI Engineer

Docker

Remote

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. Our AI platform helps developers troubleshoot containers, optimize Dockerfiles, and navigate the Docker ecosystem with intelligent, contextual assistance.

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)