AI Integration Engineer Intern
Nexgetech is offering a hands-on AI Integration Internship for students, freshers, and aspiring developers passionate about artificial intelligence and automation.
As an AI Integration Engineer Intern, you will work on real AI-powered applications using Claude API and other LLM technologies while gaining practical experience in API integration, prompt engineering, and modern AI development workflows.
Internship Details
- Type: Paid Internship
- Duration: 4–6 Months
- Location: Remote (Global)
- Working Hours: 20–40 Hours/Week (Flexible)
- Time Zone Requirement: Partial US Eastern Time overlap required
- PPO Opportunity: Available for top performers
- Start Date: Rolling Applications Open
Key Responsibilities
- Build and test AI integrations using LLM APIs
- Assist in developing internal AI automation tools
- Write Python or JavaScript code for API integrations
- Experiment with prompt engineering techniques
- Debug and optimize AI-powered workflows
- Document tools and development processes
- Collaborate with developers on real-world AI projects
Requirements
Required Skills
- Basic knowledge of Python or JavaScript
- Understanding of APIs and software development concepts
- Curiosity about AI and LLM technologies
- Ability to learn independently and solve problems
- Basic understanding of Git/GitHub
- Familiarity with development environments such as VS Code
Preferred Skills
- Any experience with OpenAI, Claude, Gemini, or similar APIs
- Personal or academic AI projects
- Knowledge of REST APIs
- Basic understanding of prompt engineering
- GitHub portfolio or coding projects
Learning & Growth Opportunities
- Work on real production AI systems
- Gain hands-on experience with Claude API
- Build portfolio-ready AI applications
- Learn deployment, integrations, and automation workflows
- Opportunity for full-time conversion based on performance
Why Join Us?
- Direct mentorship from experienced developers
- Real-world AI development experience
- Startup environment with fast learning opportunities
- Flexible remote internship model
- Career growth into full-time AI roles
How to Apply
Send your:
- CV, LinkedIn, or GitHub Profile
- Short explanation of an AI project or experiment
Optional GitHub repository or demo project