Key Responsibilities
- Design, develop, and maintain generative AI applications and advanced AI models
- Implement generative AI techniques such as Retrieval Augmented Generation (RAG), prompt engineering, and embeddings to enhance model outcomes
- Evaluate large language model (LLM) outputs using appropriate metrics and iteratively improve results
- Stay updated with industry trends and advancements in AI to implement cutting-edge solutions
- Communicate model results and gather feedback from stakeholders at various levels
Requirements
- Enrolled in an accredited undergraduate computer science program with a graduation year of 2027
- Working knowledge of programming languages such as Python, C#, JavaScript/TypeScript, or SQL
- Understanding of LLM and generative AI concepts and their real-world applications
- Ability to evaluate LLM output using appropriate metrics
- Familiarity with SQL query language, preferably Microsoft SQL Server, and NoSQL concepts including Cosmos DB