Generative AI Implementation Intern

Summary

InterDigital is a global research and development company focused on wireless, video, and artificial intelligence technologies. As a Generative AI Implementation Intern, you will work with employees to teach prompt engineering and AI best practices, identify high-impact use cases, and build production-ready automations to enhance team efficiency.

Responsibilities

• Deliver 1:1 sessions and workshops on prompt design, LLM workflows, and generative AI best practices for technical and non-technical audiences
• Facilitate use-case discovery with business and engineering teams to identify where AI can increase productivity or improve outcomes
• Design, prototype, and deploy custom GPTs, assistants, and lightweight automations that solve real user problems
• Develop a curated prompt library, templates, playbooks, and demo videos that propagate best practices across the organization
• Implement evaluation checks for outputs (accuracy, relevance, hallucination mitigation) and track metrics on usage and efficiency gains
• Work with engineering and security teams to ensure all prototypes follow data governance, privacy, and responsible-AI policies

Skills

• Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, AI/ML, Human-Computer Interaction, Information Systems, or a related field
• Hands-on experience with LLMs, generative AI workflows, and prompt engineering
• Excellent communication skills—able to translate technical concepts into clear, actionable guidance for non-technical users
• Strong facilitation and interpersonal skills; comfortable presenting to groups
• Familiarity with Python and experience calling language model APIs (e.g., OpenAI, Azure OpenAI, Anthropic, Hugging Face)
• Comfortable building quick prototypes (Jupyter/Colab, scripts, small web UIs) with familiarity in Git and basic software development practices
• Able to work on-site in Conshohocken, PA for the duration of the internship
• Authorized to work in the United States
• Experience building chatbots, assistants, or integrations (e.g., Slack bots, Teams bots, small web apps)
• Knowledge of LLM evaluation metrics, hallucination mitigation strategies, and prompt-based safety/guardrails
• Coursework or practical experience in AI ethics, responsible AI, or data governance

Qualifications

Must Haves

• Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, AI/ML, Human-Computer Interaction, Information Systems, or a related field
• Hands-on experience with LLMs, generative AI workflows, and prompt engineering
• Excellent communication skills—able to translate technical concepts into clear, actionable guidance for non-technical users
• Strong facilitation and interpersonal skills; comfortable presenting to groups
• Familiarity with Python and experience calling language model APIs (e.g., OpenAI, Azure OpenAI, Anthropic, Hugging Face)
• Comfortable building quick prototypes (Jupyter/Colab, scripts, small web UIs) with familiarity in Git and basic software development practices
• Able to work on-site in Conshohocken, PA for the duration of the internship
• Authorized to work in the United States

Nice to Haves

• Experience building chatbots, assistants, or integrations (e.g., Slack bots, Teams bots, small web apps)
• Knowledge of LLM evaluation metrics, hallucination mitigation strategies, and prompt-based safety/guardrails
• Coursework or practical experience in AI ethics, responsible AI, or data governance