Description
As an AI Engineer Intern, you will support the integration, deployment, and operationalization of foundational AI models and components, with a focus on Generative AI, Large Language Models (LLMs), Small Language Models (SLMs), and prompt engineering for conversational AI and workflow automation. Working alongside experienced team members, you will help ensure smooth implementation and takeover of AI solutions, while also contributing to documentation and extending AI capabilities across various business applications. This role offers a valuable opportunity to gain hands-on experience in building scalable AI solutions within an enterprise setting.

Key Responsibilities

End-to-End AI Solution Development
- Data Engineering: Independently develop data pipelines, perform data extraction, transformation, and loading (ETL), and preprocess data for AI model consumption.
- Model Integration: Integrate foundational models (e.g., GPT, BERT) and retrieval-augmented generation (RAG) techniques to enable dynamic and context-aware outputs, primarily using Azure AI offerings.




- Backend Development: Implement backend services and API endpoints to support AI solutions, ensuring scalability and security for deployed models.
- Frontend Integration: Develop or adapt frontend interfaces for user interaction with AI models, working with UI/UX designs to create intuitive and user-friendly experiences.

Handover & Knowledge Transfer
- Documentation for Handover: Contribute to detailed documentation of AI solutions to facilitate smooth handovers from other teams or vendors, ensuring clear and organized records of workflows and processes.
- Collaborative Knowledge Sharing: Participate in knowledge-sharing sessions with cross-functional teams, helping to bridge the gap between model development and deployment.

Quality Assurance and Testing
- Testing Protocols: Design and execute testing protocols to ensure model accuracy, reliability, and robustness within deployed solution

📌 AI Intern (India)
🏢 Black Box
📍 India