Full-Stack AI Developer Intern

RevvityCAD Remote – ON, ON
Remote

About The Position

Revvity is seeking a Full-Stack AI Developer Intern who is passionate about artificial intelligence, particularly generative AI and large language models (LLMs), and their potential to transform business operations. This role involves working on AI initiatives to enhance employee productivity and creativity, fine-tuning LLMs, developing prompt engineering strategies, and integrating AI tools into existing workflows. The intern will collaborate with diverse teams, understand business challenges, and contribute to shaping the future of AI-driven business innovation.

Requirements

  • Strong interest in enterprise AI applications
  • Familiarity with popular LLMs such as ChatGPT, Claude, or others
  • Familiarity with python, Next.JS, Docker and full stack technologies
  • Basic understanding of prompt engineering concepts
  • Proficiency in at least one programming language (Python preferred)
  • Knowledge of machine learning concepts and frameworks (e.g., TensorFlow, PyTorch)
  • Ability to work in a fast-paced, rapidly changing environment
  • Strong problem-solving skills and meticulous attention to detail
  • Excellent communication skills, both written and verbal

Nice To Haves

  • Understanding of business processes and enterprise software systems

Responsibilities

  • Complete onboarding and gain familiarity with enterprise systems and AI initiatives.
  • Provide feedback on the onboarding experience.
  • Build relationships across departments to understand challenges and AI opportunities.
  • Gain a basic understanding of business operations and how AI can enhance productivity.
  • Develop prototypes and proof-of-concepts for AI-powered features.
  • Assist in fine-tuning and optimizing LLMs for specific enterprise use cases.
  • Contribute to the development of prompt engineering strategies.
  • Participate in creating AI-driven tools for integration into workflow systems.
  • Collaborate on AI model integration projects.
  • Assist in evaluating and benchmarking AI model performance.
  • Present work and findings to stakeholders.
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