AI/ML Engineer or Full-Stack Developer – Virtual Try On AI
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Job description
AI/ML Engineer or Full-Stack Developer – Virtual Try On AI
Published: January 19, 2026
Location: Washington D.C., United States of America
Job Type: Full-Time
Category: Business & Finance
About the Position
We're the fast-growing, founder-led All-in-One AI Fashion Studio powering free, ultra-realistic virtual try-on and video generation tools used by thousands for personal styling, e-commerce, design, and marketing. Our flagship AI Clothes Changer lets users upload a photo and instantly swap outfits with photorealistic results - powered by advanced models like Nano Banana Pro AI - in seconds, no setup needed. From static outfit changers to dynamic Clothes Changer Video, Product to Video, AI Outfit Video Generator, and specialized try-ons (hair, tattoos, jewelry), we're democratizing fashion AI: free core access, generous credits, browser-based, and constantly integrating the latest models (Flux, Kling, Hailuo, Veo 3.1, Sora 2, WAN 2.6, etc.).
As a lean, bootstrapped-style operation that's scaled from a solo founder's vision to a live platform with real users and companion apps, we're now ready to accelerate. If you've ever dreamed of shipping AI that reshapes how people shop, design, and create fashion content - this is your chance to join early and have massive impact.
Responsibilities
- Integrate, fine-tune, and optimize cutting-edge generative AI models (image-to-image, text-to-video, reference-based generation) for fashion-specific tasks like outfit swapping, fabric rendering, pose preservation, and multi-garment consistency.
- Improve core tools: enhance realism in AI Clothes Changer (better draping, texture fidelity, body diversity), scale video generation (longer clips, smoother motion, multi-subject support).
- Build/maintain backend pipelines for fast inference, credit systems, queue management, and model switching.
- Develop frontend features (React/Next.js) for seamless user flows: upload handling, prompt engineering UI, real-time previews, history, downloads.
- Collaborate on new features: e-commerce widgets/APIs, mobile optimizations, bulk generation, AR-like previews.
- Monitor performance, reduce latency, handle edge cases (diverse bodies, complex poses, flat lays → model transfers).
Requirements
- 2+ years hands-on with generative AI (Stable Diffusion/Flux variants, diffusion models, LoRA/ControlNet, video models like Kling/Sora/Hailuo).
- Strong Python (PyTorch preferred), experience deploying models (Hugging Face, custom inference servers, cloud GPUs).
- Full-stack skills a big plus: JavaScript/TypeScript, React/Next.js, API design (FastAPI/Flask), cloud (AWS/GCP/Cloudflare).
- Passion for fashion/tech intersection - understanding of virtual try-on challenges (fit accuracy, fabric physics, inclusivity) is ideal.
- Self-starter mindset: we're small and move fast - you'll own features end-to-end.
Nice to Have
- Experience with e-commerce integrations (Shopify), video processing, or multilingual UI.
We Offer
- Opportunity to work on cutting-edge AI projects with real-world impact.
- Collaborative and fast-paced environment.
- Potential for significant professional growth.
About the Company
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