Applied AI Engineer, Creative Experiences

Responsibilities

• Identify AI opportunities with clear audiences, use cases, and potential to drive interest, traffic, or revenue.
• Build end-to-end multimodal workflows, demos, creative assets, and product experiences using models, APIs, and tools.
• Experiment with practical approaches, including lightweight LoRA fine-tuning or targeted post-training when appropriate.
• Deliver frequent iterations while balancing research depth, quality, cost, and time to delivery.
• Create compelling work for social media, launches, and growth efforts without requiring personal social-channel management.
• Use audience response, product feedback, traffic, and revenue signals to decide what to refine, expand, or stop.
• Document successful workflows and examples so the team can reproduce and extend them.

Requirements

• Hands-on experience building with generative AI models, APIs, or creative workflows, with examples taken from idea to working result.
• Strong prototyping and coding skills, including connecting tools, debugging pipelines, and making end-to-end experiences work.
• Creative and entrepreneurial judgment about compelling, useful, and shareable outputs.
• Curiosity across modalities and ability to learn unfamiliar models and tools quickly.
• Ownership, prioritization, and comfort working under tight timelines.
• Ability to connect technical decisions to intended user or business outcomes.
• Helpful experience includes startup founding or early-stage startup work, successful hackathon projects, LoRA fine-tuning or targeted post-training, multimodal model workflows, and creative AI experiences reaching real users.

Benefits

• Open to full-time hires and interns.