Generative AI Engineer – Internship
Job Description:
• 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.
Requirements:
• 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).
Benefits:
• Medical, vision, and dental insurance
• Life and disability insurance
• 401(k) plan
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• 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.
Requirements:
• 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).
Benefits:
• Medical, vision, and dental insurance
• Life and disability insurance
• 401(k) plan
Apply tot his job
Apply To this Job