AI Intern

• Design, develop, and deploy AI-powered solutions using LLMs and agentic frameworks.
  
• Build and optimize prompt engineering strategies to ensure high-performance language model behavior.
  
• Create and maintain autonomous AI agents capable of executing complex multi-step tasks.
  
• Develop, test, and iterate on real-world AI workflows integrated into broader applications.
  
• Collaborate with product managers, designers, and engineers to translate business problems into scalable AI solutions.
  
• Monitor and fine-tune AI models in production for accuracy, performance, and cost-effectiveness.
  
• Stay current with emerging trends in generative AI, LLMs, agent-based architectures, and MLOps.

Requirements

• Bachelordegree in Computer Science, Engineering, or related field.
  
• Proven experience with Prompt Engineering and customizing large language model behavior.
  
• Knowledge of developing or integrating Agentic AI frameworks (e.g., LangChain, AutoGPT, etc.).
  
• Understanding of LLMs (e.g., GPT-4, Claude, Mistral, Gemini, etc.) and how to apply them in workflow automation.
  
• Demonstrated ability to deploy working AI solutions and pipelines in DEV & Production environments.
  
• Proficient in Python and relevant AI libraries (Transformers, OpenAI SDK, LangChain, etc.).
  
• Familiarity with RESTful APIs, cloud platforms (e.g., Azure, AWS, GCP), and version control tools (e.g., Git)

Must Have :

• Must be familiar with frameworks like langchain, llama index, langraph and have used them in project(s).
  
• Must be familiar with RAG framework (vector databases).
  
• Must be familiar with computer vision tasks like object detection, image processing and OCR