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Senior Full Stack Developer

Wear It

Wear It
Job Type   /   Job Level
Contract   /   Junior Executive
Job Location
United States
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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.
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