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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