Senior AI Engineer

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. We’re growing fast and just getting started. Come join us for a whale of a ride! 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. ResponsibilitiesAdvance AI Capabilities: Enhance Ask Gordon's ability to understand complex technical questions and provide accurate, actionable responses about Docker, containerization, and development workflowsRAG System Enhancement: Improve our Retrieval-Augmented Generation pipeline to better understand Docker documentation, code repositories, and technical knowledge sourcesEvaluation & Testing: Design and implement robust evaluation frameworks to measure AI performance, accuracy, and user satisfactionModel Development & Fine-tuning: Train, fine-tune, and optimize language models specifically for Docker's technical domain and use casesRapid Prototyping: Iterate quickly on new AI features and capabilities, moving from concept to production efficientlyCross-functional Collaboration: Work closely with product managers, designers, and other engineers to integrate AI capabilities seamlessly into Docker's developer experienceQualificationsAI/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 systemsModel Training & Fine-tuning: Proven experience training, fine-tuning, or adapting models for specific domains or use casesEvaluation Frameworks: Experience designing and implementing AI evaluation methodologies and metricsProgramming Skills: Proficiency in Go (primary at Docker) and PythonAI Frameworks: Experience with LangChain/LangGraph or similar AI orchestration frameworksRapid Iteration: Demonstrated ability to prototype quickly and iterate based on user feedbackExperience 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 ExpectFirst 30 DaysIntegrate into our dynamic AI engineering team building intelligent developer assistanceDeepen knowledge of Ask Gordon's architecture, Docker's AI platform, and our technical stackContribute to your first AI model improvements or RAG system enhancements with the help of your teamUnderstand our evaluation frameworks and begin analyzing AI performance metricsFirst 90 DaysContinue to enhance and optimize our AI models and systemsImprove our RAG pipeline and evaluation frameworksDeepen your knowledge of Docker's ecosystem and developer workflowsHelp other new team members onboardRegularly interact with internal stakeholders and analyze user feedbackOne-Year OutlookLead significant AI capability improvements that directly impact millions of Docker usersContinue to help grow the team and develop more efficient AI development processesEmbrace data-driven tracking and reporting of how AI features increase developer productivityContribute to model fine-tuning and performance optimization across our AI platformGrow your skills beyond AI modeling into enterprise-grade AI system architecture and deploymentDrive initiatives to expand Ask Gordon's capabilities for enterprise use casesIn collaboration with your manager, you will have a Career Development Plan that will outline your trajectory beyond your first yearWe use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here. PerksFreedom & flexibility; fit your work around your lifeDesignated quarterly Whaleness DaysHome office setup; we want you comfortable while you work16 weeks of paid Parental leaveTechnology stipend equivalent to $100 net/monthPTO plan that encourages you to take time to do the things you enjoyQuarterly, company-wide hackathonsTraining stipend for conferences, courses and classesEquity; we are a growing start-up and want all employees to have a share in the success of the companyDocker SwagMedical benefits, retirement and holidays vary by countryDocker 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. Due to the remote nature of this role, we are unable to provide visa sponsorship.#LI-REMOTE Apply To This Job