Python AI Intern

Key Responsibilities

• Develop scripts for AI model prototyping and integration using Python.
• Implement Retrieval Augmented Generation (RAG) systems for enhanced AI responses.
• Design and build conversational flows utilizing the Langgraphy framework.
• Configure and manage multi-agent systems for complex automation tasks.
• Demonstrate ownership in driving assigned AI development tasks to completion.
• Proactively seek innovative solutions and improve existing AI processes.
• Deploy containerized AI applications on cloud platforms like GCP.
  

Top Non-Negotiable Skills

• Strong proficiency in Python for developing AI/ML applications.
• Hands-on experience with RAG (Retrieval Augmented Generation) architectures.
• Familiarity with Langgraphy for building stateful, multi-actor applications.
• Understanding of Multi-agent systems design and implementation.
• Demonstrated Ownership in driving tasks to completion and problem-solving.
• Possesses a strong Seeker Mindset for continuous learning and improvement.
• Exhibits Unbeatable Work Ethics, commitment, and dedication to projects.
  

Negotiable Skills

• Familiarity with Docker for containerizing and deploying applications is a plus.
• Experience with GCP cloud services for AI infrastructure is beneficial.
• Understanding of cloud deployment and scaling strategies is advantageous.