Data / ML Internship

Intern, Developer Gen AI

at Ricoh Careers

⚠️
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📍 Location Mississauga, ON, Canada
📋 Details Intern
📅 Posted

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About the Role

Build GenAI features, tune prompts, deploy APIs

About Ricoh Careers

Global tech conglomerate with AI research initiatives

Full Description

GenAI Developer Intern

Job Profile

We are seeking a curious and innovative GenAI Developer intern to join our team. In this role, you will work on cutting-edge generative AI solutions, including large language models (LLMs), prompt engineering, and AI-powered applications. You’ll collaborate with engineers and data scientists to design, build, and deploy intelligent systems that solve real-world problems.

Key Responsibilities

  • Assist in building and integrating applications using generative AI models (e.g., LLMs)
  • Design, test, and refine prompts to improve AI outputs and reliability
  • Develop agents,  backend services or APIs that connect AI models to applications
  • Work with structured and unstructured data for training, fine-tuning, or retrieval (RAG systems)
  • Evaluate model performance and help implement improvements (accuracy, latency, cost)
  • Collaborate with cross-functional teams (product, data, UX)
  • Document experiments, workflows, and technical implementations
  • Stay current with advancements in generative AI and machine learning

Qualifications

  • Currently enrolled or graduated in Computer Science, Software Engineering, Data Science, or a related program
  • Good programming skills in Python (preferred) ,  JavaScript or other programming languages.
  • Good understanding of APIs and software development fundamentals
  • Familiarity with machine learning or NLP concepts
  • Strong problem-solving and analytical thinking skills
  • Good communication and collaboration abilities
  • Interest in generative AI technologies and their applications

Preferred Skills (Nice to Have)

  • Experience with LLM frameworks (e.g., LangChain, LlamaIndex)
  • Knowledge of prompt engineering techniques and evaluation methods
  • Familiarity with vector databases and embeddings (MongoDB is preferred)
  • Exposure to cloud platforms (AWS, Azure, or GCP)
  • Experience with REST APIs and microservices architecture
  • Understanding of ethical AI, bias, and responsible AI practices

What You’ll Gain

  • Hands-on experience building GenAI-powered applications
  • Exposure to modern AI tools, frameworks, and workflows
  • Mentorship from experienced engineers and AI specialists
  • Opportunity to contribute to innovative, real-world AI solutions
  • Potential pathway to a full-time role

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