Creative AI Systems Engineer

Job Summary

We are looking for a software engineer/creative technologist with 3-5 years of experience who can move comfortably between prototype and production.

You will help Gooey.AI build experimental and core platform features that allow users to upload multimodal datasets, generate embeddings, visualize semantic relationships, evaluate model behavior, discover meaningful clusters, and create new AI workflows from latent-space insights.

This is a role for someone who enjoys building real systems, but is also excited by open-ended creative and research questions: How do we make a vector space visible? How do we help a non-technical artist understand why two images, poems, sounds, or archival objects are related? How do we evaluate whether an embedding model is useful for humanities research? How can latent-space arithmetic reveal unexpected relationships? How can a researcher move from I found an interesting cluster to I built a reusable AI workflow others can fork?

You will work closely with Gooey.AI s product, engineering, and creative leadership, as well as artists, researchers, faculty, and cultural partners.

What You’ll Work On

Example Projects

What Success Looks Like

In your first 3 months, you will have shipped working prototypes for multimodal dataset ingestion, embedding generation, visualization, and exploratory search. You will have helped integrate at least one new embedding model into Gooey.AI and created a simple evaluation workflow to compare it against existing models.

In your first 6 months, you will have helped turn the best prototypes into reusable Gooey.AI workflows and core platform services. Artists, researchers, or students should be able to use these tools to upload datasets, discover meaningful relationships, interpret the results, and share their workflows with others.

Over time, your work will help Gooey.AI become a leading platform for cultural, artistic, humanities, and global impact organizations that want to explore AI in ways that are transparent, measurable, collaborative, and non-extractive.

Why This Role Matters

Most AI tools are built for search, automation, or content generation. We are interested in something broader: AI as a medium for discovery, interpretation, and shared cultural reasoning.

Latent space should not only be something engineers compute. It should become something artists, researchers, students, and communities can explore, question, critique, and reshape.

This role is about making that possible.

Requirements

What We’re Looking For

You should be a strong software engineer who enjoys applied AI, creative technology, and fast prototyping.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.