AI Creative Systems Engineer - Contractor

Thesis • Portland, OR

20h

About The Position

We’re looking for an AI Creative Systems Engineer to help build the infrastructure behind next generation creative production.

This role sits at the intersection of engineering, automation, and generative AI, helping design and maintain the systems that power large scale AI assisted content creation.

You’ll work closely with designers, producers, and innovation leaders to build scalable pipelines that transform design briefs and product assets into production ready imagery and motion.

The ideal candidate enjoys building systems that bridge creative workflows and cloud infrastructure, and is excited about using emerging technologies to reshape how creative work gets produced.

The AI Creative Systems Engineer Engineer builds and maintains the technical infrastructure that powers AI assisted creative production. This role focuses on designing scalable systems that enable high-volume generation of imagery and motion assets while integrating seamlessly with creative workflows and production systems.

This role works closely with designers, producers, and innovation leaders to translate creative needs into reliable automation pipelines and cloud-based systems that support the full lifecycle of AI generated assets.

Requirements

• CLOUD INFRASTRUCTURE Experience working with Google Cloud Platform or similar environments (AWS, Azure).
• BACKEND DEVELOPMENT Strong programming experience in Python or similar scripting languages used for automation and orchestration.
• API DEVELOPMENT & INTEGRATION Experience integrating third-party APIs and building services that connect multiple platforms.
• AI / GENERATIVE WORKFLOWS Familiarity with generative AI tools, image pipelines, or model-driven content generation systems.
• SYSTEMS ARCHITECTURE Ability to design reliable, scalable systems that support high-volume asset generation.
• DATA & ASSET MANAGEMENT Experience working with media pipelines, asset storage, and content delivery systems.
• CROSS-DISCIPLINARY COLLABORATION Comfort working closely with designers, producers, and creative teams to translate creative needs into technical systems.
• 8+ years of experience in software engineering, infrastructure engineering, or systems engineering
• Experience building automation pipelines or media processing systems
• Experience working with GCP, AWS, or similar cloud environments

Nice To Haves

• Familiarity with generative AI workflows is a strong plus
• Experience integrating creative production or marketing systems is highly valued

Responsibilities

• AI PRODUCTION PIPELINE ARCHITECTURE Design and implement scalable pipelines that generate product imagery and motion assets using generative AI models.
• CLOUD INFRASTRUCTURE DEVELOPMENT Build and maintain cloud based systems (primarily Google Cloud Platform) that support AI generation, asset processing, storage, and delivery.
• MODEL & API INTEGRATION Integrate generative AI models and external services into automated workflows using APIs and orchestration scripts.
• ASSET INGESTION & PROCESSING Develop systems that ingest product assets (such as renders), process them through AI generation pipelines, and prepare outputs for production use.
• ASSET STORAGE & DELIVERY Design reliable systems for storing, managing, and exporting generated assets including images, video, and channel-specific variations.
• CREATIVE WORKFLOW INTEGRATION Collaborate with designers and producers to ensure pipelines support real-world creative workflows and review processes.
• PRODUCTION SYSTEMS INTEGRATION Build integrations between AI production pipelines and client production systems such as Airtable based creative operations platforms.
• AUTOMATION & OPTIMIZATION Continuously improve generation pipelines for performance, reliability, and cost efficiency.

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed