Aone Talent

AI Engineer

• This is a remote position.
• During this internship, you will play a pivotal role in accelerating a fast-moving project encompassing software stack development, Artificial Intelligence, Computer Vision, and network interoperability.
• Duration- 8 weeks (June- early August)
• This internship project focuses on continuing the development of an LLM+VLM tool that supports both multi modal content and external enterprise data sources.
• The objective is to give users a unified way to ask questions, analyze documents, and build retrieval workflows, whether the data comes from local files, images, scanned documents, and external sources.
• The intern(s) will join an existing team to continue the framework that allows the platform to securely connect to external systems.
• This includes support for authentication, configuration, connection health checks, source discovery, and document ingestion into existing analysis and RAG pipelines.
• The project will emphasize clean architecture so new connectors can be added later with minimal changes to the core platform.
• Attention will be given to multi-user and multi-organization requirements such as role-based access control, token-based access, and separation of data between organizations and users.
• Because some tasks may take time to complete, the internship will integrate a job management model for long-running operations such as batch analysis, ingestion, and indexing.
• This includes thinking about queue visibility, task status, and scalable execution in a multi-user environment.
• This project is well-suited for a student interested in AI systems, backend development, API design, multi modal AI, and secure enterprise integration.

Machine Learning/AI Engineering Internship, LLM Focus