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Job Description
Position: AI Backend Developer Intern
Company: AutonoPros
Type: Unpaid Internship (3 Months)
Mode: Remote (Work from Home)
Work Hours: Flexible (4 days/week, 4 hours/day)
Mentorship: Work directly with backend engineers & AI specialists
🚀 About the Opportunity
At AutonoPros, we’re building intelligent systems powered by AI and automation.
As an AI Backend Developer Intern, you’ll work on the core systems that power AI applications—from APIs and model integrations to scalable backend services.
This role is perfect for someone who wants to combine backend development with AI, and gain hands-on experience building production-ready systems.
🧠 What You’ll Work On
Backend Development (Core Focus)
- Build and maintain backend services for AI-powered applications
- Develop and manage APIs for integrating AI models (OpenAI, Google, etc.)
- Design endpoints for handling prompts, responses, and workflows
- Work with databases to store and manage structured/unstructured data
🎯 Who Should Apply
- Students or recent graduates interested in backend + AI development
- Basic knowledge of Python / Node.js
- Understanding of APIs, servers, and databases
- Strong problem-solving mindset and attention to detail
- Willingness to learn system design and scalable architecture
💡 Bonus Skills (Nice to Have)
- Experience with frameworks (FastAPI, Flask, Express, etc.)
- Understanding of REST APIs and JSON handling
- Familiarity with databases (MongoDB, PostgreSQL, etc.)
- Basic knowledge of cloud platforms (AWS, GCP, or similar)
- Exposure to AI/ML or working with APIs
🎁 Perks & Benefits
- Internship Certificate + Performance-based Letter of Recommendation
- Real-world experience building backend systems for AI products
- Direct mentorship from engineers and AI professionals
- Flexible, learning-focused work culture
- Opportunity to work on live AI-powered applications
🌐 About AutonoPros
AutonoPros helps businesses scale using AI, automation, and innovative digital solutions.
We provide an environment where interns can build real systems, experiment freely, and grow quickly.
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