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 robust 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.

📌 Python AI Intern (Hyderabad)
🏢 Techolution
📍 Hyderabad