Full-Stack Developer

Lakshya Software Technologies Private Limited; India; Remote; INR 2,500,000 - 4,500,000; Full time

Job summary

Lakshya Software Technologies Private Limited is seeking a seasoned Full-Stack Developer to craft scalable web applications using Next.js for the frontend and NestJS for the backend.

You will design APIs, implement SSR/SSG, and integrate multiple databases and caching layers. The role emphasizes AI-powered features, AI tool usage, and collaboration with cross-functional teams in a fully remote setup.

Qualifications

• 6–12 years of full-stack development experience.
• Strong expertise in Next.js (frontend) and NestJS (backend).
• Experience building RESTful and GraphQL APIs with validation and security.
• Databases experience (SQL/NoSQL) and cloud services.
• Hands-on with AI-assisted development tools and workflows.
• Ability to work with cross-functional teams in a remote setting.

Responsibilities

• Design, develop, and maintain full-stack applications using Next.js and NestJS.
• Build RESTful and GraphQL APIs with proper validation, security, and performance considerations.
• Implement SSR, SSG, and performance optimization strategies in Next.js.
• Design modular backend services with NestJS and TypeScript.
• Integrate databases (MySQL, PostgreSQL, MongoDB) and caching (Redis).
• Build AI-powered features using LLM APIs and AI services.
• Leverage prompt engineering and AI-assisted tooling to accelerate development.
• Collaborate with designers, product managers, and QA engineers; review code and improve standards.
• Deploy and maintain apps using modern CI/CD and cloud services.

Skills

Next.js

NestJS

Node.js

React

RESTful APIs

OAuth/JWT

Docker

Cloud services

AI-assisted development

Git

Tools

GraphQL

Redis

MySQL

PostgreSQL

Job description

Full-Stack Developer

Key Information

Location: Remote

Employment type: Full-time, Permanent

Experience: 6-12 years

About the Role

We are looking for a Full-Stack Developer with strong expertise in Next.js (frontend) and NestJS (backend) who thrives in an AI-augmented development environment.

You will build scalable web applications, design robust APIs, integrate Generative AI capabilities where relevant, and actively leverage AI tools to accelerate development, testing, documentation, and optimization.

Key Responsibilities

• Design, develop, and maintain full-stack applications using Next.js and NestJS.
• Build RESTful and/or GraphQL APIs with proper validation, security, and performance considerations.
• Implement SSR, SSG, and performance optimization strategies in Next.js.
• Design clean, modular, and testable backend services using NestJS and Type .
• Integrate databases such as MySQL, PostgreSQL, and MongoDB, along with caching layers such as Redis.
• Build and integrate Generative AI-powered features using LLM APIs and AI services.
• Work with concepts such as prompt engineering, structured outputs, tool/function calling, and AI-assisted workflows.
• Leverage AI-assisted development tools to improve development speed, code quality, testing, debugging, and documentation.
• Collaborate with designers, product managers, and QA engineers.
• Review code, enforce best practices, and continuously improve engineering standards.
• Deploy and maintain applications using modern CI/CD pipelines and cloud services.

Required Skills

• Strong experience with Next.js, React, and Type .
• Strong experience with NestJS and Node.js.
• Solid understanding of RESTful APIs, authentication (JWT/OAuth), and authorization.
• Experience with relational and/or NoSQL databases.
• Solid understanding of Docker and cloud services such as AWS, GCP, or Azure.
• Solid understanding of server configuration, deployment, and debugging.
• Proficiency with Git and modern development workflows.
• Hands-on experience using AI-assisted development tools productively.
• Familiarity with integrating LLMs/Generative AI APIs into web applications.

Nice-to-Have

• Experience building GenAI or LLM-powered applications, such as chat, search, summarization, or automation features.
• Familiarity with RAG, embeddings, vector databases, and AI agents/tool calling.
• Experience with microservices architecture.
• Knowledge of server-side rendering (SSR) and SEO best practices.
• Experience with Redis, message queues, or event-driven systems.
• Experience building PWAs or mobile-friendly web applications.