S.K. Varshney
5 months ago
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AI Engineer Internship in Generative AI and LLMs at BlackBox.AI, Bangalore Black Box in
Degree Level
not provided
Field of study
Computer Science
Funding
Full funding availableDeadline
Expired
Country
Black Box
University
Black Box

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Keywords
About this position
BlackBox.AI is offering an AI Engineer Internship in Bangalore, focusing on the integration, deployment, and operationalization of foundational AI models and components. The role emphasizes Generative AI, Large Language Models (LLMs), Small Language Models (SLMs), and prompt engineering for conversational AI and workflow automation. This opportunity is open to final year students or recent graduates with degrees such as B.Tech, BCA, MCA, or M.Tech in Computer Science, Information Technology, or AI/ML from any recognized Indian university.
Key technical skills required include proficiency in Python for data handling and AI scripting, experience with Azure AI services and deployment tools, familiarity with data pipeline development and ETL processes, backend development experience with frameworks like Flask or Django, API development knowledge, and understanding of testing frameworks and automated QA processes. The internship is designed to provide hands-on experience in cutting-edge AI technologies and backend systems, making it ideal for those interested in Generative AI, LLMs, and workflow automation.
The position is announced by Professor Emeritus S.K. Varshney, a professional adviser at Delhi University, with extensive experience in science facilitation and academic leadership. The application deadline is January 15, 2026. No specific funding or stipend information is provided. Interested candidates should review the full details and apply online via the provided links before the deadline.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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