Full Stack Engineer (Ai+Platform)

0 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

Apply

Work Mode

On-site

Job Type

Full Time

Job Description

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, 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.

Responsibilities

  • 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 modelling, and query optimisation.
  • Optimise frontend and backend performance, ensuring a smooth, secure experience.
  • Collaborate cross-functionally with Product, Design, and AI teams to ship user-first features.

Requirements

  • Strong experience with React.js, Next.js, 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.
  • Experience with Electron.js for cross-platform desktop applications.
  • 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 modelling, schema design, optimisation).
  • Understanding of authentication, authorisation, and secure API practices.

Bonus

  • Familiarity with DevOps, Docker, AWS and CI/CD pipelines.
  • 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.
This job was posted by Integrations At Quash from Quash.

Mock Interview

Practice Video Interview with JobPe AI

Start TypeScript Interview
cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

coding practice

Enhance Your Java Skills

Practice Java coding challenges to boost your skills

Start Practicing Java Now

RecommendedJobs for You