An established technology company is seeking a strong full-stack software engineer who already uses AI coding tools as part of a disciplined professional workflow and has the engineering depth to validate, test and take ownership of production software.
Key Responsibilities
- Build and maintain features across mobile, web and backend systems.
- Use AI coding agents and assistants to accelerate development while remaining accountable for correctness, security and reliability.
- Design and maintain third-party API integrations and troubleshoot production issues.
- Contribute to applied-AI features using LLM APIs, structured outputs, retrieval or related techniques.
- Write tests, documentation and clear technical specifications.
- Coordinate effectively with senior engineering leadership and other developers.
- Support code review and help improve development practices as the team grows.
Requirements
- 3-7 years of professional software-development experience.
- Strong production experience with React/React Native, Node.js/TypeScript, APIs, AWS or comparable cloud services, and SQL or MongoDB.
- Regular professional use of AI coding tools such as Claude Code, Cursor, Codex, Copilot or equivalent.
- Experience shipping at least one applied-AI feature or internal tool is strongly preferred.
- Experience owning third-party API integrations end-to-end.
- Strong troubleshooting, testing and written communication skills.
- Currently based in Qatar and eligible to work locally.
Package: QAR 8,000-12,000 full package, depending on experience.
Pay: QAR8,000.00 - QAR12,000.00 per month
Application Question(s):
- 1.Which technologies have you used in production? Please briefly describe your experience with React/React Native, Node.js/TypeScript, databases and cloud services.
2.Which AI coding tools do you use regularly in professional development, and how do you use them in your workflow?
3.Describe one production feature, application or integration that you personally took significant ownership of. What did you build and what was your responsibility?
4.Have you built an AI-enabled feature or internal tool using LLM APIs or related technologies? If yes, briefly describe what you built.
5.Please provide a link to your GitHub, portfolio, published application or other relevant work, if available.
Location:
Work Location: In person