Senior AI Engineer, Docker
+ Equity
More information about location
App development platform
Open for applications
App development platform
501-1000 employees
Open for applications
+ Equity
More information about location
501-1000 employees
Company mission
To increase the time developers spend on innovation, and decrease the time they spend on everything else.
Role
Who you are
- 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 the job involves
- 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
- 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
- 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 with the help of your team
- Understand our evaluation frameworks and begin analyzing AI performance metrics
- 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
- 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
- Drive initiatives to expand Ask Gordon's capabilities for enterprise use cases
- In collaboration with your manager, you will have a Career Development Plan that will outline your trajectory beyond your first year
Our take
Docker supplies a hub and desktop solution to simplify the workflow of app development teams. Originally known for popularising the idea of containerising software, it saw itself outpaced by Kubernetes. However, the company has identified a problem with the growing complexity of containerisation, with some apps consisting of dozens or even hundreds of containers - which is what it now addresses.
Docker has had a difficult time in the recent past, with 2019 seeing it sell off its enterprise business, reduce its workforce by hundreds, and change its leadership team. As a well known brand and ecosystem for containerisation, however, it aims to lure developers back to its product as well as to take advantage of the growing global demand for app development.
Returning to focus on developers rather than large companies was certainly a gamble, but one that seems to have paid off. The company has returned to profitability and raised Series C funding in 2022, which is cited to fund hiring new talent, ramping up its business, and continuing to develop and refine its product. It's also embarked on a series of acquisitions to
Steph
Company Specialist at Welcome to the Jungle
Insights
47% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Mar 2022
$105m
SERIES C
Mar 2021
$23m
SERIES B
Total funding: $497.9m
Company benefits
- 100% company paid medical premiums for employees and dependents
- Flexible Time Off Policy
- “Whaleness” Days — At least 1 company wide day off per month
- Employer Paid Holidays
- Generous Maternity and Parental Leave
- Home Office Set Up Budget
- Monthly Technology Stipend
- Training Allowances
- Life and Disability Insurance
- Retirement Plans
- Virtual and In-Person Social Events
- Docker Swag
- Quarterly Hackathons
- Virtual Coffee with Co-Workers
Company HQ
China Basin, San Francisco, CA
Leadership
Scott Johnston
(CEO, not founder)Has been COO and CPO with Docker prior to CEO role. Before that was VP, Marketing & Product at Puppet and a Venture Partner at Alloy Ventures.
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