Full-Stack Developer

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 TypeScript.
• 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 TypeScript.
• 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.