Write maintainable, scalable, and performant code across the stack primarily in Typescript and React with opportunities to work in Python and Go.
Design and build APIs, and domain / object models specific to our customers’ Machine Learning and LLM workflows.
Design and build out performant and reusable react components that will be used throughout the application.
Research and implement cutting-edge visualization & dimensionality reduction algorithms in a distributed environment.
Collaborate with our product, design, and directly with customer engineering teams to enhance and expand our product offerings.
Contribute to the build our own in-house AI Agents
Participate in or lead architectural decisions for new and existing features in collaboration with product, design and our backend teams.
Contribute to design & code reviews and technical documentation.

Requirements

5+ years of frontend experience working on external user-facing UI’s - preferably in React and Typescript
Previous experience debugging complex systems in a team environment.
Enthusiasm and interest in the AI and LLM ecosystem, with a desire to learn and stay updated on emerging technologies.
Previous work building and operating highly complex, high-volume SaaS platforms/systems.
Strong sense of product ownership in order to push features over the line.
Passion for creating beautiful UX design with the end user in mind.
A good teammate, someone who sees supporting their team as a core part of the job

Benefits

medical
dental
vision
401(k) plan
unlimited paid time off
generous parental leave plan
additional support for mental health and wellness

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

TypescriptReactPythonGoAPIsdomain modelsobject modelsvisualization algorithmsdimensionality reduction algorithmsSaaS

Soft Skills

team collaborationproduct ownershipUX designsupportive teammateenthusiasm for AIdesire to learndebugging complex systemsleadership in architectural decisionscode reviewstechnical documentation