Full Stack Engineer (AI + Platform)

Full-Stack Engineer (AI + Platform)

Location : Bengaluru (onsite)

Experience : 1–3 years

Type : Full-time

About Quash

Quash 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 Overview

We’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 On

Build 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.

RequirementsFrontend

Strong 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.

Backend

Proficiency 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 & Integrations

Practical 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 Quash

Work 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.