Senior Full-Stack Engineer, Workflows

LabelBox • San Francisco Bay Area • 3w ago

Role Overview

We’re looking for a Senior Full-Stack Engineer to join our Workflows team, where you’ll help build easy-to-use and efficient tools that support the development of cutting-edge AI systems like those for generative AI and computer vision. You'll work on both the frontend and backend, creating UI components and reliable systems that help our customers train better AI models.
In this role, you’ll collaborate with engineers, designers, and product managers to bring ideas to life, solve technical problems, and make sure our platform runs smoothly. You’ll innovate and push technological boundaries in order to meet the rapidly evolving needs of our customers, helping them create AI models that can work with multi-modal data.

Your Impact

Support AI development by building interactive and reliable tools that help train AI models using various types of data, including text, images, audio, and video.
Build new features by working with a cross-functional team to create, test, and improve the tools our customers use every day.
Solve technical challenges by thinking through complex and ambiguous problems and coming up with practical, effective solutions.
Help customers succeed by assisting our support team in resolving issues and improving the overall user experience.
Keep systems running smoothly by participating in on-call rotations to monitor and fix any issues that arise.
Make the team better by suggesting and implementing ways to improve how we work and build software.
Share your knowledge by writing and reviewing technical documentation to help the team and future developers.

What You Bring

3+ years of experience as a full-stack engineer, working on both frontend user interfaces and backend systems.
Strong skills in TypeScript, Node.js, and GraphQL, and familiarity with Python, Kubernetes, and Google Cloud tools like MySQL, Spanner, GCS, and PubSub.
3+ years of experience using frontend frameworks like React/Redux, and the ability to turn designs into interactive, responsive web pages.
A proactive attitude, taking ownership of your work and looking for ways to make the product and team better.
Comfort working in a fast-paced, agile environment, where priorities can shift, and quick problem-solving is key.
A focus on writing clean, well-tested code, and delivering your work on time.

Bonus Points

Experience building tools for AI applications, like evaluating large language models or monitoring AI performance.
Knowledge of natural language processing (NLP) techniques.

Engineering at Labelbox

At Labelbox Engineering, we're building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We've cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.