Design, develop and maintain Generative AI applications, advanced AI models and conversational agents.
Use Gen AI techniques like Retrieval Augmented Generation (RAG), Prompt Engineering, Embeddings etc. to enhance model outcomes.
Perform evaluation on LLM output using appropriate metrics and iteratively improve results.
Stay updated with the latest industry trends and advancements in AI to implement cutting-edge solutions.
Communicate model results and solicit feedback from stakeholders at various levels.

Be enrolled in an accredited undergraduate degree program related to computer science, with a graduation year of 2027.
Working knowledge of a programming or scripting language (Python, C#, JavaScript/Typescript, SQL).
Working knowledge of LLM and Generative AI concepts and its real-world applications.
Working knowledge of evaluating LLM output with appropriate metrics.
Good working knowledge of SQL query language (preferably with Microsoft SQL Server).
Good understanding of SQL Server DB concepts.
Understanding of No SQL concepts and Cosmos DB.
Understanding of Cloud Platforms is a plus (Azure/AWS).
Experience with various full cycle software development methodologies, tools and practices is a plus.
Good knowledge on software development lifecycle (SDLC), Agile/Scrum.
Ability to interact and communicate with business partners of varying levels of expertise.
Ability to communicate technical information to non-technical users.
Ability to communicate business process to technical resources.
Ability to understand complex process flow diagrams or flowcharts that demonstrate business or system process flow.
Ability to work full 40-hour weeks virtually from June 17 – August 7, 2026 (internship dates cannot be altered).

Generative AI Engineer – Internship

Key skills