Your Role Here’s what you will be doing:
Design, build, and harden agentic workflows that plan and take actions reliably, understanding failure modes and structuring tasks for success.
Build retrieval-augmented generation (RAG) and search pipelines that fetch relevant client data and ground model outputs within core applications.
Select appropriate models for each task, balancing latency, cost, and quality trade-offs.
Engineer prompts and context structures tailored to model classes, including framing reasoning models effectively.
Write evaluations for AI features to verify consistent performance beyond one-time success.
Connect AI tools to internal systems and data sources via APIs or Model Context Protocol (MCP) to support real client use cases.
Review and validate AI-generated code and automated workflows for correctness, security, and safety.
Collaborate with Builders and Integration & Data Engineers to deliver complete solutions and document workflows, prompts, and integrations in Notion.
About You The company is looking for:
Current enrollment or recent graduation from a Master’s program in Computer Science,



Software Engineering, AI/ML, Information Systems, or related fields.
Strong hands-on experience with AI coding assistants and Claude API or comparable model APIs, supported by portfolio or examples.
Working understanding of modern large language models (LLMs) and reasoning models, including context windows and model selection criteria.
Practical experience in at least one area: building agentic workflows, RAG/retrieval pipelines, or integrating models via tool calling or MCP.
Excellent prompt-engineering and context-management skills.
Coding fluency in JavaScript/React and/or Python to build, evaluate, and fix AI-generated outputs.
An instinct for evaluation to measure AI correctness beyond plausibility.
Solid verbal and written communication skills within cross-functional teams.
New graduates are encouraged to apply. The company values curiosity, passion for growth, and the desire to create impact, even if all qualifications are not perfectly met.

#J-18808-Ljbffr

📌 Applied AI Engineer (Agentic Workflows & RAG) - Master-Level Internship (Manitoba)
🏢 Stie Yai
📍 Manitoba