Co-op/Intern AI Quality, Evaluation & Security

Kinaxis

. Work directly with a senior architect on the machinery and methodology for evaluating, monitoring, and investigating agentic AI systems .

Posted 9/17/2026internshipOttawa • CanadaEntry Level💰 CA$27 - CA$40 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong capabilities in AI evaluation, quality engineering, and security analysis, with proficiency in Python and Git. Engages in collaborative problem-solving and effective communication while navigating complex AI systems and methodologies.

Highest-signal resume keywords

Python ProgrammingGit and GitHub ProficiencyAI Evaluation TechniquesQuality EngineeringSecurity Analysis

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Hard Skills

Software EngineeringComputer ScienceTest Automation FrameworksCI/CD PipelinesData ManipulationData Quality TechniquesFuzz TestingProperty-Based TestingMetamorphic TestingBenchmark Design

Soft Skills

Clear Written CommunicationComfortable with Ambiguity

Tools & Technologies

AI Assurance ToolkitEvaluation InfrastructureAgentic Engineering WorkflowObservability ToolsTrace Analysis Tools

Industry Keywords

AI AgentsSecurity CompliancePolicy TestingRed-Team EvaluationResponsible AI Risk AssessmentLLM ApplicationsSemantic ModelingKnowledge Graphs

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Work directly with a senior architect on the machinery and methodology for evaluating, monitoring, and investigating agentic AI systems
Complete a scoped project within the AI assurance toolkit focused on evaluation infrastructure, quality engineering, security analysis, or tooling for understanding agent behavior
Extend the evaluation harness and improve configuration, execution, reproducibility, and comparability of evaluation runs
Investigate scoring, aggregation, run-to-run variance, sample size, and confidence in evaluation results
Research agent evaluation tooling and techniques and prototype promising ideas
Investigate AI-agent security and trustworthiness, including sensitive context, policy compliance, unsafe instructions, tool errors, and reviewable evidence
Build observability and investigation tools for trace analysis, failure categorization, regression detection, and engineering reports
Use a GitHub-native, agentic engineering workflow with AI-assisted development tools
Present findings and form opinions about the work
Collaborate with experienced software engineers across quality engineering, AI evaluation, reliability analysis, and security-minded investigation

Requirements

What you’ll need

Completed 3rd year of, or recently graduated from, a program in Software Engineering, Computer Engineering, Computer Science, or a related field
Currently enrolled in full-time education or a recent/upcoming graduate within 12 months of the placement end date
Demonstrated interest in software quality, reliability, security, or investigation-oriented engineering
Demonstrated interest in AI agents and their evaluation
Comfortable writing code in Python or a comparable language
Comfortable with Git and GitHub
Clear written communication
Comfortable with ambiguity
Nice to have: experience with test automation frameworks, CI/CD pipelines, property-based, fuzz, or metamorphic testing
Nice to have: exposure to application security, threat modeling, policy testing, red-team style evaluation, secure software development, or responsible AI risk assessment
Nice to have: exposure to LLM applications, RAG, prompt engineering, agentic frameworks, and evaluation tooling
Nice to have: familiarity with LLM-as-judge, rubric-based scoring, or benchmark design
Nice to have: experience analyzing logs, traces, audit records, experiment results, or failure reports
Nice to have: experience with data manipulation, analysis, data quality, or validation techniques
Nice to have: exposure to knowledge graphs, semantic modeling, or ontologies
Nice to have: exposure to supply chain, logistics, manufacturing, or enterprise planning systems
Nice to have: contributions to open-source projects, research, competitions, or hackathons

Benefits

Comp & perks

Flexible vacation and Kinaxis Days (company-wide days off)
Flexible work options
Physical and mental well-being programs
Regularly scheduled virtual fitness classes
Mentorship programs, training, and career development
Recognition programs and referral rewards
Hackathons
Recruitment accommodations upon request