Full Stack Engineer

Job Summary

We are looking for a highly skilled Full Stack Engineer with strong expertise in the MERN stack, Python backend development, and AI-powered application integration. The ideal candidate will design, develop, and maintain scalable web applications, APIs, and intelligent systems using modern JavaScript frameworks, Python services, and AI/ML technologies.

You will work across the entire software development lifecycle — from frontend UI/UX implementation to backend architecture, cloud deployment, database optimization, and AI feature integration.

This is an ONSITE Role based in DHA Phase 2, Islamabad, Pakistan

Key Responsibilities

Frontend Development

(MERN)React.js Development

• Build responsive, scalable, and high-performance web applications using React.js.
• Develop reusable UI components and frontend libraries.
• Implement state management using:
• Redux
• Context API
• Zustand / Recoil (optional)
• Optimize applications for:
• Performance
• SEO
• Accessibility
• Mobile responsiveness

UI/UX Integration

• Convert Figma/Adobe XD designs into responsive interfaces.
• Work with Tailwind CSS, Material UI, Bootstrap, or Chakra UI.
• Implement animations and interactive experiences.

Frontend Architecture

• Implement modular and scalable component architecture.
• Handle client-side routing using React Router.
• Integrate frontend with REST APIs and GraphQL services.

Backend Development

Node.js & Express.js

• Develop scalable RESTful APIs using Node.js and Express.js.
• Implement:
• Authentication & authorization
• Role-based access control (RBAC)
• API security best practices
• Build microservices and event-driven systems.
• Manage middleware, request validation, and error handling.

Python Development

• Develop backend services using Python frameworks such as:
• FastAPI
• Flask
• Django (optional)
• Build AI/ML service layers and data-processing pipelines.
• Create automation scripts, ETL jobs, and AI integrations.
• Design asynchronous processing systems using:
• Celery
• RabbitMQ
• Kafka

AI & Machine Learning Responsibilities

AI Integration

• Integrate AI APIs such as:
• OpenAI APIs
• Anthropic APIs
• Gemini APIs
• Hugging Face models
• Build AI-powered features including:
• Chatbots
• AI assistants
• Recommendation systems
• Semantic search
• Document summarization
• OCR pipelines
• n8n

LLM Application Development

• Implement Retrieval-Augmented Generation (RAG) systems.
• Build vector database integrations using:
• Pinecone
• Weaviate
• ChromaDB
• FAISS
• Create prompt engineering pipelines.
• Fine-tune and evaluate AI model outputs.

AI Infrastructure

Work with:

• LangChain
• LlamaIndex
• Haystack
• Build AI workflows and agent systems.
• Optimize AI inference performance and token usage.
• n8n

Database Management

MongoDB

• Design scalable NoSQL database schemas.
• Implement aggregation pipelines and indexing strategies.
• Optimize database performance.

SQL Databases (Optional but Preferred)

• PostgreSQL
• MySQL

Vector Databases

• Manage embeddings and semantic search infrastructure.

Cloud & DevOps Responsibilities

Cloud Platforms

Experience with:

• AWS
• Azure
• Google Cloud Platform (GCP)

Deployment & Infrastructure

• Containerize applications using Docker.

Security Responsibilities

• Implement secure authentication:
• JWT
• OAuth
• Firebase Auth
• Auth0
• Prevent vulnerabilities:
• XSS
• CSRF
• SQL Injection
• NoSQL Injection
• Secure APIs and AI endpoints.
• Build CI/CD pipelines using:
• GitHub Actions
• GitLab CI/CD
• Jenkins

Deploy applications using:

• Kubernetes
• Docker Compose
• Vercel
• Netlify
• Render

Required Technical Skills

Core Technologies

Frontend

• React.js
• JavaScript (ES6+)
• TypeScript
• HTML5
• CSS3
• Tailwind CSS

Backend

• Node.js
• Next.js
• Express.js
• Python
• FastAPI / Flask

Databases

• MongoDB
• Redis
• PostgreSQL (preferred)

AI/ML

• OpenAI API
• LangChain
• Vector databases
• Embeddings
• Prompt engineering
• n8n

Preferred Qualifications

• Bachelor’s degree in Computer Science or related field.
• 4+ years of Full Stack development experience.
• Experience building AI-enabled SaaS products.
• Experience with scalable cloud-native architectures.
• Familiarity with MLOps concepts.
• Experience with real-time applications using:
• WebSockets
• Socket.IO

This is an ONSITE Role based in DHA Phase 2, Islamabad, Pakistan

Work Location: In person