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)