Full Stack Developer

Gulftainer; Sharjah Emirate; On-site; AED 120,000 - 180,000; Full time

Job summary

Gulftainer seeks a capable full-stack developer to design, build, and maintain scalable web applications using React/Next.js, TypeScript, Node.js, and Python. You’ll contribute across API development, databases, AI-powered features, authentication, testing, and deployment to ensure fast, reliable software.

Key duties include frontend work in React/Next.js, backend services in Node.js and Python, and implementing AI agent capabilities with LangChain, LlamaIndex, or similar frameworks, while

Qualifications

• 2-3 years building production web applications as a full-stack developer.
• Strong React (hooks, modern patterns) and TypeScript.
• Next.js in production (App Router or Pages Router).
• Node.js backend experience - Express, NestJS.
• Python.
• Working SQL - joins, basic query design and debugging.
• Authentication fundamentals - JWT, OAuth2, session management.
• Comfortable working in Agile - sprint planning, standups, story breakdown, retros
• Basic understanding of AI agents - LLMs, tool use, prompt design, and common agent patterns (RAG, function calling).
• Hands-on with AI agent frameworks (LangChain, LlamaIndex, OpenAI Agents SDK, MCP, or similar).

Responsibilities

• Build React / Next.js frontends in TypeScript
• Design and implement Node.js and Python backend services and APIs
• Build and integrate AI agent features — prompt design, tool use/function calling, and RAG pipelines
• Write solid SQL and grow into query performance work (query plans, indexing)
• Contribute to CI/CD pipelines and basic monitoring for the services you ship
• Review PRs, write tests, and keep the codebase boring (in a good way)

Skills

React

TypeScript

Next.js

Node.js

Python

SQL

JWT/OAuth2

Agile

CI/CD

Docker

Tools

Vitest/Jest

Playwright/Cypress

Git

Docker

GitHub Actions

GitLab CI

LangChain

LlamaIndex

Job description

Develop and maintain full-stack web applications using React/Next.js, TypeScript, Node.js, and Python. Responsible for delivering end-to-end features, including API development, database integration, AI-powered solutions, authentication, testing, and deployment, while ensuring performance, scalability, and code quality.

Duties and Responsibilities:

• Build React / Next.js frontends in TypeScript
• Design and implement Node.js and Python backend services and APIs
• Build and integrate AI agent features — prompt design, tool use/function calling, and RAG pipelines using frameworks like LangChain, LlamaIndex, or MCP
• Write solid SQL and grow into query performance work (query plans, indexing) with guidance
• Contribute to CI/CD pipelines and basic monitoring for the services you ship
• Review PRs, write tests, and keep the codebase boring (in a good way)

Information Security Management System (ISMS)

• Safeguard Gulftainer’s information as per Information protection requirements.
• Implement and maintain an Information Security Management System based on the ISO/IEC 27000 series standards, including certification against ISO/IEC 27001 where applicable.
• Implement and maintain the necessary information security policies, standards, procedures and guidelines, in conjunction with the Information Technology Security Committee.
• Database: Oracle (node-oracledb, PL/SQL), PostgreSQL, MySQL — SQL joins/query design; advanced: window functions, indexing
• Testing: Vitest/Jest, Playwright/Cypress
• Tooling: Git, Docker, GitHub Actions/GitLab CI
• Process: Agile (sprint planning, standups, story breakdown, retros)

Qualification:

• 2-3 years building production web applications as a full-stack developer
• Strong React (hooks, modern patterns) and TypeScript
• Next.js in production (App Router or Pages Router)
• Node.js backend experience - Express, NestJS
• Python
• Working SQL - joins, basic query design and debugging
• Authentication fundamentals - JWT, OAuth2, session management
• Comfortable working in Agile - sprint planning, standups, story breakdown, retros
• Basic understanding of AI agents - LLMs, tool use, prompt design, and common agent patterns (RAG, function calling)
• Hands-on with AI agent frameworks (LangChain, LlamaIndex, OpenAI Agents SDK, MCP, or similar)