Full Stack Engineer
4 days ago
Full-Stack Engineer (AI + Platform)Location: Bengaluru (onsite)Experience: 1–3 yearsType: Full-timeAbout QuashQuash is an AI-powered QA platform that helps mobile teams test smarter and ship faster. We’re building the future of intelligent testing, where AI understands your app, runs adaptive tests on real devices, and reports issues with full context.We’re now expanding our engineering team to build the next generation of our platform, blending world-class UX with deep AI capabilities.Role OverviewWe’re looking for a Full-Stack Engineer who thrives at the intersection of web development, AI integration, and platform scalability. You’ll work across the stack, A from building fluid, high-performance UIs to integrating LLM-driven features and scalable backend systems.This role is for someone who’s excited about solving tough technical challenges, experimenting with new AI workflows, and shipping real, production-grade systems.What You’ll Work OnBuild and maintain high-quality, responsive UIs using React.js and Next.js.Develop modular, maintainable frontend architecture with TypeScript, React Hooks, and state management tools (Zustand, Recoil, or Redux).Create clean and scalable backend services using Spring Boot (Java) and Python (FastAPI, Flask, or Django).Design and integrate RESTful APIs, authentication flows, and microservices.Work with MongoDB for efficient schema design, data modeling, and query optimization.Optimize frontend and backend performance, ensuring a smooth, secure experience.Collaborate cross-functionally with Product, Design, and AI teams to ship user-first features.RequirementsFrontendStrong experience with React.js, Next.js, and TypeScript and CSS.Solid understanding of modern JavaScript (ES6+) and component-based architecture.Experience with state management (Zustand, Redux, Recoil) and React Hooks.Proficiency in building responsive, performant, and modular UIs.Knowledge of API integration, auth flows, and frontend performance tuning.(Bonus) Experience with Electron.js for cross-platform desktop applications.BackendProficiency in Java (Spring Boot) for backend service development.Experience in Python with FastAPI, Flask, or Django.Deep understanding of RESTful API design and microservice architecture.Experience with asynchronous programming, background tasks, and queue systems.Hands-on experience with MongoDB (data modeling, schema design, optimization).Understanding of authentication, authorization, and secure API practices.(Bonus) Familiarity with DevOps, Docker, AWS and CI/CD pipelines.AI & IntegrationsPractical experience integrating LLM APIs (OpenAI, Anthropic, Gemini, etc.).Familiarity with LangChain, LangGraph, or related AI orchestration frameworks.Understanding of prompt engineering, RAG, and vector databases.Interest in building AI-first product features that combine logic with intelligent automation.Curiosity and willingness to experiment with emerging AI SDKs and frameworks.Why Join QuashWork on a real product used by QA teams and developers worldwide.Collaborate directly with the founders on high-impact, experimental projects.Opportunity to own the architecture, influence direction, and build cutting-edge AI tooling.Competitive compensation with equity options.A creative, ambitious, and fast-paced environment where ideas turn into shipped features fast.
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Full Stack Engineer
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