Remote AI-Driven Full-Stack Engineer (Python, React)

Huzzle.com; South Africa; Remote; ZAR 480,000 - 720,000; Full time

Benefits offered by this job

Fully Remote: Work from anywhere

Career Growth: Join leading companies

Peer Community: Network with professionals

Ongoing Support: Guidance throughout placement

Tailored Compensation: Matches client and candidate goals

Job summary

A dynamic tech company is seeking a Remote AI Backend / Full-Stack Engineer to build and scale an AI-powered travel planning platform. The ideal candidate will have strong Python skills, experience with FastAPI, and familiarity with React. You'll develop backend services, contribute to APIs, and collaborate in an agile setting. This is a fully remote position with opportunities for career growth and tailored compensation based on client preferences.

Qualifications

• Strong experience with Python backend development.
• Experience building APIs using FastAPI or similar frameworks.
• Familiarity with React for frontend development.
• Experience working with MongoDB.
• Understanding of cloud infrastructure (AWS or similar platforms).

Responsibilities

• Develop and maintain backend services using Python and FastAPI.
• Build and optimize APIs for AI-driven travel planning features.
• Collaborate through GitHub pull requests and code reviews.
• Integrate backend systems with MongoDB databases and AWS infrastructure.
• Ensure code follows clean architecture principles.

Skills

Python backend development

API development using FastAPI

React for frontend development

MongoDB

AWS cloud infrastructure

GitHub for version control

Strong English communication

Job description

A dynamic tech company is seeking a Remote AI Backend / Full-Stack Engineer to build and scale an AI-powered travel planning platform. The ideal candidate will have strong Python skills, experience with FastAPI, and familiarity with React. You'll develop backend services, contribute to APIs, and collaborate in an agile setting. This is a fully remote position with opportunities for career growth and tailored compensation based on client preferences.