Generative AI Engineering Intern (Graduate)
New
United StatesInternshipEntry
Salary35 USD per hour
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Job Details
- Required Skills
- PythonAgileMachine LearningNumpyPandasscikit-learnNLPPrompt EngineeringLLM
Requirements
- Currently enrolled in a Master's or Ph.D. program in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or NLP.
- Completion of at least one semester of graduate coursework.
- Strong programming skills in Python, including familiarity with NumPy, Pandas, and scikit-learn.
- Foundational understanding of machine learning concepts, neural networks, and natural language processing principles.
- Exposure to large language models (LLMs) through coursework, research, or personal projects.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively in a team environment.
Responsibilities
- Assist in the development and optimization of generative AI solutions using GPT-4, Claude, Gemini, and Azure OpenAI Service.
- Support prompt engineering efforts including designing, testing, and refining prompts to improve LLM output quality.
- Contribute to the implementation of retrieval-augmented generation (RAG) systems, including working with vector databases and embedding models.
- Conduct research on emerging generative AI techniques and foundation models, summarizing findings for the team.
- Assist in building evaluation frameworks and quality assurance pipelines to measure AI-generated content quality.
- Support documentation efforts including technical guides, API documentation, and prompt libraries.
- Participate in code reviews, team meetings, and Agile/Scrum ceremonies.
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