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Senior Full Stack Developer - MERN (Onsite, Lahore, Remittance Salary)

Summary

This role involves designing and maintaining scalable full-stack applications using the MERN stack, with a heavy focus on integrating Agentic AI, LLMs, and RAG pipelines. The developer will work with cloud-native technologies like AWS and Docker to build robust, automated systems.

Requirements

  • 5+ years of professional software development experience.
  • Strong expertise in TypeScript is mandatory.
  • Solid experience in backend development using Node.js / NestJS.
  • Strong frontend development skills using React / Next.js / Vue.js.
  • Deep understanding of databases, APIs, and third-party integrations.
  • Hands-on experience with AWS, Docker, and microservices architecture.
  • Strong understanding of system design, scalable architectures, and clean coding principles.
  • Experience working with Git, CI/CD pipelines, and modern development workflows.
  • Practical experience with LLM-based applications, AI integrations, and prompt-driven systems.
  • Strong expertise in Agentic AI, including AI agents, workflow automation, tool calling, orchestration, and autonomous task execution.
  • Experience working with vector databases and RAG pipelines.
  • Exposure to cloud-native deployments, monitoring, and observability tools.

Responsibilities

  • Design, develop, and maintain scalable full-stack applications.
  • Build and optimize backend services using Node.js / NestJS and modern architectural patterns.
  • Develop responsive, high-performance frontend interfaces using React / Next.js / Vue.js.
  • Architect and implement scalable APIs, microservices, and database solutions.
  • Deploy and manage applications on AWS using containerized environments (Docker).
  • Ensure code quality through clean architecture, testing, and engineering best practices.
  • Implement CI/CD pipelines and support automated deployment workflows.Build and integrate AI-powered features using LLMs and related frameworks.
  • Develop and manage Agentic AI systems, including AI agents, orchestration layers, and automation workflows.
  • Collaborate with cross-functional teams to translate product requirements into technical solutions.

See also

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