About the role
Park+ is hiring AI Product Interns to build AI-powered products that solve real business problems. You'll work closely with Product, Engineering, Business, and Operations teams to design AI workflows, experiment with LLMs and AI agents, and ship impactful solutions. 📩 **How to Apply:** Complete the application through the official Google Form.
Responsibilities
- Identify customer and business pain points
- Design AI workflows using LLMs, AI Agents, and automation tools
- Build, test, and optimize prompts for real business use cases
- Create AI-ready documentation and knowledge bases
- Integrate APIs and AI tools into business workflows
- Collaborate with Product, Engineering, Business, and Operations teams
Requirements
- 2025, 2026, or 2027 batch pursuing or completed a Bachelor's degree
- Strong product thinking and structured problem-solving skills
- Curiosity to build AI-powered solutions for real-world problems
- Excellent communication and stakeholder management skills
- Exposure to APIs, SQL, Python, JavaScript, Figma, or automation tools is a plus
Benefits
- Monthly stipend of ₹30,000 - ₹35,000
- Hands-on experience building AI-powered products
- Work with LLMs, AI Agents, and modern automation tools
- Mentorship from experienced product and engineering teams
- Opportunity to work on real-world business challenges
Required Skills
Frequently Asked Questions
What is the salary for AI Product Intern?
The listed salary for AI Product Intern at Park+ is ₹30,000 - ₹35,000/month.
Where is this AI Product Intern role located?
This position is based in Gurugram, IN (On-site).
What experience is required for AI Product Intern?
Candidates are expected to have Freshers of experience for this role.
How do I apply for AI Product Intern at Park+?
Apply directly through the application link on this HireDoor job page for AI Product Intern at Park+.
What are the key benefits for AI Product Intern?
Key benefits include: Monthly stipend of ₹30,000 - ₹35,000; Hands-on experience building AI-powered products; Work with LLMs, AI Agents, and modern automation tools; Mentorship from experienced product and engineering teams; Opportunity to work on real-world business challenges.