Location: Remote
Role Type: Full-time
Seniority: Senior / IC
We are looking for a passionate Full Stack Developer to join our dynamic founding team. If you obsess over pixel-perfect UIs, love building scalable components, are well-versed with app frameworks, and enjoy solving complex problems with clean code, we want to hear from you!
About the Company
Wear It AI is an AI-powered fashion commerce platform that turns user-generated content into instant shoppable ads.
Our founding and engineering team worked at global tech giants, bringing together expertise in ML, computer vision, personalization strategy, and e-commerce innovation.
Talent profile:
Main Tech:
- Next.js w/ TypeScript
Must-haves:
- Next.js (App Router, Components, Server/Client Rendering)
- Figma-to-Frontend Implementation
- PWA
- AI automation and vide coding ability
Important:
- Responsive Design (desktop + mobile)
- RESTful API Integration
- State Management (Zustand, Redux, or similar)
Nice to haves / Trainable Skills:
- Basic AWS (S3, CloudFront, Lambda integration concepts)
- Performance optimization for image-heavy UIs
Key ResponsibilitiesFrontend Development (React + Figma Implementation)
- Convert Figma designs into a production-grade, responsive, performant React application using modern best practices (TypeScript, state management, modular components, etc.).
- Develop and maintain reusable, accessible UI components aligned with design and user experience requirements.
- Collaborate with design and product teams to refine UIs, resolve edge cases, and ensure high fidelity to design intent.
- Optimize performance, ensure cross-browser compatibility, and uphold high standards for web usability and accessibility.
Backend & API Engineering
- Build and maintain secure, scalable backend services and APIs (Node.js / Python or equivalent) to support frontend functionality and AI workflows.
- Develop integrations with internal and external systems (e.g. user authentication, image processing, data storage, analytics).
- Write robust unit and integration tests; participate in code reviews; uphold coding standards and best practices.
- Influence architectural decisions—data contracts, API design, performance, error handling, observability.
AI / LLM Integration & Implementation
- Work collaboratively with our science/engineering teams to integrate AI/LLM models into the product, powering features such as virtual try-on, image processing, and user personalisation.
- Implement API clients, model configuration, prompt orchestration, error-handling, telemetry, and monitoring for AI services.
- Design or support retrieval/context workflows, leveraging embeddings or vector stores, as required.
- Monitor AI‐driven features in production for performance, quality, and reliability; iterate to improve user experience and backend stability.
Ownership & Cross-Functional Collaboration
- Own end-to-end features: from design handoff, implementation, testing, deployment to production monitoring.
- Collaborate with design, product, ML teams to align engineering milestones with product vision.
- Mentor junior and mid-level engineers: share best practices, code structure strategies, AI integration lessons, and frontend/back-end patterns.
- Contribute to technical roadmap, refactoring efforts, and continuous improvement of our stack and release processes.
Required Qualifications
- 6+ years of professional software engineering experience (Full Stack / Frontend heavy).
- Deep expertise in React and TypeScript, with a track record of shipping production UIs.
- Proven experience converting visual designs (Figma or similar) into polished, responsive web frontends.
- Strong backend implementation skills (Node.js and/or Python or similar) for building APIs and server-side logic.
- Hands-on experience integrating AI/LLM models or APIs in production-grade applications.
- Solid understanding of HTTP, REST, JSON, authentication, and modern API design.
- Experience with cloud platforms (AWS, Azure, GCP) or equivalent deployment/CI-CD setup.
- Experience with developing PWA, iOS and Android and/or WeChat apps.
- Experience with coding automation and effective communications using generative AI tools.
- Strong software engineering fundamentals: architecture, testing, performance optimization, security best practices.
- Excellent communication skills and ability to work across teams (product, design, data science).
- Self-motivated with the ability to continuously learn new tools and frameworks to keep up with industry standards.
Preferred / Nice-to-Have Skills
- Experience with Next.js or other SSR/SSG frameworks for React applications.
- Familiarity with AI / orchestration frameworks (e.g. LangChain, LlamaIndex) and vector databases.
- Prior experience working on RAG pipelines, multi-agent workflows, or AI-driven feature toolchains.
- Experience maintaining or contributing to design systems or component libraries (Storybook, style systems, etc.).
- Hands-on involvement in early-stage or 0→1 product development environments.
- Exposure to analytics, A/B testing, or usage instrumentation for AI features and UI performance.
- Past startup and international experience preferred.
What Success Looks Like (First 6–12 Months)
- Within the first 1–2 months, you ship polished UI features built from design handoffs and complete your first AI model/API integration. Migrate existing web and app to an AI agent assisted tooling for none-coders to be able to make frontend changes.
- By month 3–6, you own significant feature spaces, publish a mobile app version of core products, collaborate across design and ML teams, and contribute to scaling infrastructure or architecture.
- Within 6–12 months, you lead the development of core AI-enabled experiences, mentor your engineering peers, and help define the technical direction for product & AI at Wear It AI.