Agentic AI Internship

About the Opportunity:

We are looking for talented Computer Science Engineering (CSE) students or recent graduates to join our team in developing and deploying Agentic AI systems. This role involves working on cutting-edge AI agents that can autonomously perform tasks, make decisions, and interact with environments. You’ll gain hands-on experience in AI/ML deployment, automation, and real-world problem-solving.

• Domain: Agentic AI, Autonomous Agents, AI Automation
• Role: AI Deployment Engineer / Agentic AI Developer
• Suitable for: CSE students (final year/interns) or fresh graduates passionate about AI

Responsibilities of the Candidate:

• Develop, test, and deploy Agentic AI models for real-world applications.
• Work on AI agents capable of autonomous decision-making (e.g., chatbots, robotic process automation, multi-agent systems).
• Integrate AI agents with APIs, databases, and external tools for seamless automation.
• Optimize AI workflows for scalability, efficiency, and reliability.
• Collaborate with teams to design agent architectures (e.g., LLM-based, reinforcement learning).
• Debug and improve existing AI agent performance.

Requirements:

• Education: Pursuing/completed a degree in Computer Science, AI, or related fields.
• Technical Skills:
  • Proficiency in Python and AI/ML frameworks (e.g., TensorFlow, PyTorch, LangChain, AutoGen).
  • Experience with LLMs (GPT, Claude, Gemini) and prompt engineering.
  • Familiarity with RPA, APIs, cloud platforms (AWS/Azure/GCP), and Docker.
• Bonus Skills:
  • Knowledge of multi-agent systems (e.g., AutoGen, CrewAI).
  • Understanding of reinforcement learning (RL) for autonomous agents.
• Soft Skills: Problem-solving, teamwork, and adaptability in fast-paced AI projects

Why Apply?

• Work on futuristic Agentic AI deployments.
• Gain mentorship from AI experts.
• Opportunity for full-time roles based on performance.