Posted:2 days ago|
Platform:
Remote
Contractual
They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society.
We are seeking a skilled Software Engineer with strong frontend expertise to support our AI
engineering and model evaluation workflows. This role is focused on building visualization tools
and interfaces that enable the training and assessment of large language models (LLMs) and
foundation models—not typical product features. The ideal candidate has solid JavaScript experience, especially with creative and interactive graphics libraries such as Three.js and P5.js, to help construct data- and model-driven frontends. You’ll work closely with researchers and backend teams to build tools that make complex AI behavior visible, debuggable, and intuitive.
● Build and maintain tools that support the training and evaluation of LLMs and
foundation models
● Implement and test reusable software components, interfaces, and utilities
● Design and build 2D and 3D interactive components using P5.js and Three.js for
model inspection and visualization
● Analyze and improve systems flow and user interactions based on researcher and
stakeholder feedback
● Debug, trace, and resolve production issues with a focus on frontend stability and
performance
● Collaborate with engineers, scientists, and PMs to align tools with experimentation
needs
● Bachelor’s or Master’s degree in Engineering, Computer Science, or equivalent
experience
● At least 3+ years of experience as a software engineer
● Proficiency in JavaScript and related technologies (e.g., React, TypeScript)
● Experience working with Three.js and/or P5.js for interactive 2D/3D projects
● Ability to independently drive interface development and quickly iterate with minimal
guidance
● Strong debugging and performance tuning skills
● Excellent English communication skills, written and spoken
● Personal or open-source projects demonstrating creative frontend work
● Familiarity with data-driven applications or interfaces used in ML/AI contexts
● Experience collaborating with ML engineers or researchers
● Understanding of visualization patterns for AI metrics, embeddings, or model outputs
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