Position Title: AI Agent Development Intern
Location: Noida
Position Type: Internship (Onsite)
Experience: 0-1 Year
About Us:
QueueBuster, founded in 2016 is India’s business super app. It is a powerful Android-based Mobile POS application for all kinds of businesses. From large format retail stores to small carts and kiosks, QueueBuster has everything that you need to run your business with ease. With features like Billing, Inventory, Khata, Online Dukaan, Customers, and Loyalty, it is the most sought-after solution for every business.
Job Description:
We are seeking highly motivated individuals to join our team as AI Agent Development Interns. This internship provides hands-on experience in building intelligent agents, working with cutting-edge AI frameworks, and contributing to real- world projects that advance automation and machine learning.
As an intern, you will develop intelligent autonomous agents powered by Large Language Models (LLMs). These agents will be capable of executing multi-step tasks, integrating with enterprise systems, and collaborating with other agents to automate complex business processes.
Responsibilities:
• Design and develop AI agents capable of executing multi-step workflows and autonomous decision-making.
• Build agent-based systems using frameworks such as LangChain, AutoGPT, or CrewAI
• Integrate AI agents with enterprise APIs, databases, and external systems
• Implement task orchestration and multi-agent collaboration frameworks
• Optimize agent performance for efficiency, reliability, and scalability
• Collaborate with senior developers to enhance agent capabilities
• Document workflows, experiments, and outcomes for knowledge sharing
Skills and Qualifications:
• Strong programming skills in Python (knowledge of frameworks like LangChain, or TensorFlow is a plus).
• Understanding of machine learning, NLP, and reinforcement learning concepts
• Experience integrating AI systems with APIs and enterprise applications
• Understanding of multi-agent architectures and workflow orchestration
• Excellent problem-solving and analytical abilities
• Bachelor’s degree in computer science or software engineering preferred
