AI AGENT

We are seeking an enthusiastic AI Agent Intern who will support the development and integration of AI-powered tools to enhance customer experience, automate workflows, and provide intelligent solutions for temple and pilgrimage tourism services. This role is ideal for students or freshers passionate about AI, travel-tech, and spirituality-driven tourism.

Key Responsibilities

• Assist in developing and training AI chatbots/virtual assistants to handle customer queries related to pilgrimage tours, temple history, and bookings.
• Support the design of AI-driven recommendation systems for personalized tour packages.
• Work on data structuring and knowledge base creation (temple details, rituals, timings, nearby accommodations, transport).
• Collaborate with the tech and content teams to ensure accurate, culturally sensitive, and user-friendly AI responses.
• Research and implement AI applications in tourism (NLP, voice search, predictive travel insights).
• Analyze user interactions and suggest improvements in AI tools for better engagement and accuracy.

Requirements

• Currently pursuing or recently completed studies in Computer Science, AI/ML, Data Science, Tourism Tech, or related fields.
• Basic knowledge of AI/ML models, Natural Language Processing (NLP), and chatbot development.
• Strong interest in temple tourism, Indian culture, and spirituality.
• Familiarity with tools like Python, TensorFlow, Rasa, Dialogflow, or OpenAI API (preferred but not mandatory).
• Good communication, research, and problem-solving skills.
• Ability to work independently as well as in a team environment.

Learning Opportunities

• Hands-on experience in AI applications for the tourism industry.
• Exposure to pilgrimage tourism operations and customer engagement strategies.
• Mentorship from senior professionals in AI and tourism management.
• Opportunity to contribute to innovative projects combining technology and culture.

Perks

• Internship certificate on successful completion.
• Flexible working hours (depending on academic schedule).
• Potential for full-time placement based on performance.
• Involvement in live projects impacting real customers.

Job Type: Full-time

Pay: Up to ₹500,000.00 per year

Work Location: In person