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Job Description & How to Apply Below
Superside is rethinking how creative work gets done by embedding AI directly into production workflows. We’re hiring a Creative Technologist who is first and foremost a software engineer to build plugins, services, and automation that extend tools like Figma and the Adobe Suite.
In this role, you’ll write production code that integrates AI capabilities into the tools creatives already use, turning complex models and data into reliable, scalable systems that improve speed, quality, and consistency across creative work.
What You'll Do- Build production‑grade software that integrates directly with creative tools (e.g. Figma plugins, Adobe scripts, internal APIs). Develop full‑stack solutions that embed AI capabilities (LLMs, generative imagery, automation) into creative workflows.
- Translate customer and consultant requirements into scalable technical implementations.
- Prototype rapidly, then harden successful experiments into reliable, maintainable systems.
- Collaborate closely with AI engineers, consultants, and designers to ensure tools are technically sound and genuinely usable.
- Own technical implementation decisions within projects, balancing speed, quality, and long‑term maintainability.
- Contribute to shared patterns, libraries, and approaches that can be reused across AI consulting engagements.
- Champion pragmatic engineering practices, focusing on MVPs that deliver real customer value.
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
- 4+ years of professional experience as a software engineer, ideally in product, platform, or consulting environments.
- Strong full‑stack engineering foundation, with hands‑on experience building and shipping production systems.
- Proficiency in technologies such as JavaScript/Type Script, Python, Node.js, and modern frontend frameworks (e.g. React).
- Experience building integrations, plugins, or automation against third‑party tools or APIs.
- Hands‑on experience integrating AI services (LLM APIs, generative models) into real applications.
- Familiarity with cloud infrastructure (AWS or equivalent) and basic data storage patterns.
- Strong problem‑solving skills and comfort working in ambiguous, fast‑moving environments.
- Ability to explain technical concepts clearly to non‑engineering stakeholders.
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