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Generative AI Implementation Intern

InterDigital
Conshohocken, USA
Full-time
Intern
Onsite
Discovered 3 weeks ago
azuregitopenaipython

Full Job Posting

Preferred Qualifications

  • 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
  • Location: Conshohocken, PA - On-site
  • InterDigital is an equal employment opportunity employer. InterDigital will not engage in or tolerate unlawful discrimination with regard to any employment decision, policy or practice based on a person’s sex, gender, pregnancy (including childbirth, breastfeeding and related medical conditions), age, race, color, religion, creed, national origin, ancestry, citizenship, military status, veteran status, mental or physical disability, medical condition, genetic information, sexual orientation, gender identity or expression, or any other factor protected by applicable federal, state or local law. This policy applies to all terms and conditions of employment, including, but not limited to, recruiting, hiring, compensation, benefits, training, assignments, evaluations, coaching, promotion, discipline, discharge and layoff.

Qualifications

  • 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
  • Location: Conshohocken, PA - On-site
  • InterDigital is an equal employment opportunity employer. InterDigital will not engage in or tolerate unlawful discrimination with regard to any employment decision, policy or practice based on a person’s sex, gender, pregnancy (including childbirth, breastfeeding and related medical conditions), age, race, color, religion, creed, national origin, ancestry, citizenship, military status, veteran status, mental or physical disability, medical condition, genetic information, sexual orientation, gender identity or expression, or any other factor protected by applicable federal, state or local law. This policy applies to all terms and conditions of employment, including, but not limited to, recruiting, hiring, compensation, benefits, training, assignments, evaluations, coaching, promotion, discipline, discharge and layoff.

Responsibilities

  • Coach and enable: Deliver 1:1 sessions and workshops on prompt design, LLM workflows, and generative AI best practices for technical and non-technical audiences.
  • Discover opportunities: Facilitate use-case discovery with business and engineering teams to identify where AI can increase productivity or improve outcomes.
  • Build and ship: Design, prototype, and deploy custom GPTs, assistants, and lightweight automations that solve real user problems.
  • Create reusable resources: Develop a curated prompt library, templates, playbooks, and demo videos that propagate best practices across the organization.
  • Measure and improve: Implement evaluation checks for outputs (accuracy, relevance, hallucination mitigation) and track metrics on usage and efficiency gains.
  • Collaborate on governance: Work with engineering and security teams to ensure all prototypes follow data governance, privacy, and responsible-AI policies.
  • What You'll Gain
  • Hands-on experience deploying AI solutions in a real enterprise environment
  • A portfolio of shipped projects you can point to in future interviews
  • Exposure to cross-functional work with engineering, product, legal, and business teams
  • Mentorship from experienced AI practitioners
  • Insight into responsible AI practices and enterprise governance

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