Role Description

We’re looking for an AI Developer with a passion for the intersection of art, design, and emerging AI technologies. This role is ideal for someone who’s already experimented with generative AI tools and models, and is ready to contribute to real-world creative applications — from concept to implementation.

You’ll collaborate closely with our creative and technical teams to develop custom AI workflows, explore unconventional uses of generative models, and push the boundaries of how intelligence and imagination come together in visual storytelling.

We’re especially interested in candidates who enjoy working in a multidisciplinary setting — someone equally comfortable working with data and models as they are shaping visual outcomes.

Key Responsibilities

• Develop and implement custom generative AI workflows (e.g. Stable Diffusion, GANs, ControlNet, or LLM-driven pipelines) for visual and interactive projects
• Collaborate with creatives to define how AI can support and expand the visual language of a project
• Build and optimise tools that integrate AI into creative pipelines (image generation, video synthesis, animation, content systems)
• Stay hands-on with rapid prototyping, model fine-tuning, and experimentation — balancing technical quality with creative goals
• Actively contribute to the ideation and development of AI-driven concepts, bringing both technical insight and artistic sensibility
• Stay current with developments in generative AI, creative coding, and computational media, sharing relevant research and insights with the team
• Help build internal tools or systems that allow the creative team to experiment with AI with ease and control

Skills & Expertise

Must-Have:

• Proficient in Python & PyTorch: deep hands-on coding experience for training, fine-tuning, and using models in production.
• Strong generative AI toolkit expertise: practical experience with Stable Diffusion, ControlNet, GANs, RunwayML, DALL·E, etc.
• Deployment & pipeline maintenance: end-to-end experience deploying models, optimizing inference pipelines, monitoring performance, and ensuring reliability.
• Experience with creative coding, digital media, or visual storytelling in an AI context
• Strong understanding of pre- and post-processing, data exploration, and model fine-tuning.
• Ability to think conceptually and apply AI in unconventional, visually driven ways