Remote AI Backend & Full-Stack Engineer (Python/React)
Colossyan
Pakistan
Remote
PKR 14,001,680 - 22,402,688
Full time
14 days+
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Benefits offered by this job
Fully Remote: Work from anywhere
Career Growth: Join companies in SaaS and MarTech
Ongoing Support: Guidance throughout your journey
Tailored Compensation: Competitive salary options
Job summary
A dynamic tech company is seeking a Remote AI Backend / Full-Stack Engineer to help build and scale an AI-powered travel planning platform. Applicants should have strong Python skills, experience in web development, and the ability to work in a startup environment. Responsibilities include developing backend services, building APIs, and collaborating with product teams. This fully remote position offers tailored compensation based on client needs and emphasizes career growth and ongoing support.
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.
Experience using GitHub for collaborative development.
Responsibilities
Develop and maintain backend services using Python and FastAPI.
Build and optimize APIs for AI-driven features.
Collaborate with engineers through GitHub pull requests.
Contribute to sprint planning and agile cycles.
Integrate backend systems with MongoDB and AWS.
Skills
Python backend development
API development with FastAPI
Frontend development with React
MongoDB
GitHub for version control
Cloud infrastructure (AWS)
Agile workflows
Strong English communication skills
Job description
A dynamic tech company is seeking a Remote AI Backend / Full-Stack Engineer to help build and scale an AI-powered travel planning platform. Applicants should have strong Python skills, experience in web development, and the ability to work in a startup environment. Responsibilities include developing backend services, building APIs, and collaborating with product teams. This fully remote position offers tailored compensation based on client needs and emphasizes career growth and ongoing support.