Full Stack Engineer

About Quash

Quash is an AI-powered QA automation platform that helps mobile teams ship faster with greater reliability. We turn test plans, designs, and PRDs into self-healing test suites that run on real devices, without manual scripting or complex setup.Backed by Arali Ventures and Java Capital, we are building the next generation of QA tooling for modern engineering and QA teams.

About the role

We're building AI-first products- intelligent, agentic features layered on a modern full-stack platform: a Next.js web app, a cross-platform Electron desktop app, Spring Boot (Java) and Python services, and LLM-powered agents at the core. We're looking for highly experienced full-stack engineers who think in terms of intelligent systems first and can move fluidly across web, backend, and AI — and who can also contribute to our desktop application.

You'll own features end-to-end: from a React/Next.js UI, through Java and Python services, to the LLM agents that make the product intelligent. This is a role for someone who has shipped real AI-powered products, not just prototypes.

What You'll Work On

• Build and maintain high-quality, responsive web UIs using React.js, Next.js, and TypeScript, with clean, modular, component-based architecture.
• Design and ship AI-first product features — LLM-driven workflows, agents, RAG, and intelligent automation woven into real user journeys.
• Develop scalable backend services in Java (Spring Boot) and Python, exposing well-designed REST APIs and real-time interfaces.
• Integrate LLM APIs (OpenAI, Anthropic, Gemini, etc.) and agent orchestration frameworks, plus vector search / RAG pipelines.
• Work with MongoDB for efficient schema design, data modeling, and query optimization.
• Contribute to our Electron desktop app (React + TypeScript) alongside the web platform.
• Optimize frontend and backend performance, and uphold strong security, auth, and reliability practices.
• Collaborate cross-functionally with Product, Design, and AI teams to ship user-first features fast.

Requirements

AI & Integrations (core)

• Hands-on experience building AI-first product features with LLM APIs (OpenAI, Anthropic, Gemini, or similar) in production.
• Experience with agent orchestration frameworks — LlamaIndex, LangChain, or LangGraph.
• Strong understanding of prompt engineering, RAG, and vector databases (e.g. Qdrant, Pinecone, pgvector).
• Curiosity and willingness to experiment with emerging AI SDKs, models, and patterns.

Frontend

• Strong, senior-level experience with React.js, Next.js, TypeScript, and CSS.
• Solid command of modern JavaScript (ES6+) and component-based architecture.
• Experience with state management (Zustand, Redux, or Recoil) and React Hooks.
• Proficiency building responsive, performant, modular UIs, with frontend performance tuning.
• Comfort with API integration, auth flows, and secure client-side practices.

Backend

• Proficiency in Java (Spring Boot) for backend service development.
• Strong Python skills, including async programming and background/scheduled tasks.
• Deep understanding of RESTful API design and clean service architecture.
• Hands-on MongoDB experience: data modeling, schema design, indexing, and optimization.
• Solid grasp of authentication, authorization, and secure API practices (JWT/OAuth, secrets handling, idempotency).

Bonus / Nice-to-have

• Electron.js experience for cross-platform desktop apps (directly relevant to our app).
• Familiarity with AWS, Docker, and CI/CD pipelines.
• Experience with real-time systems (WebSockets, event-driven architectures).
• Background in Python web frameworks (FastAPI, Flask, or Django) for AI service APIs.
• Experience with mobile or device automation.