Real-time AI governance and intent validation for digital platforms - BC-1016

Genre de projet: Recherche
Discipline(s) souhaitée(s): Informatique, Sciences mathématiques
Entreprise: Digital Cavalier Technology Services Inc.
Durée du projet: 4 à 6 mois
Date souhaitée de début: Dès que possible
Langue exigée: Flexible
Emplacement(s): Victoria, BC, Canada
Nombre de postes: 2
Niveau de scolarité désiré: Études de premier cycle/baccalauréatMaîtriseDoctoratRecherche postdoctoraleNouvelle diplômée/nouveau diplômé
Ouvert aux candidatures de personnes inscrites à un établissement à l’extérieur du Canada: Yes

Au sujet de l’entreprise: 

Digital Cavalier Technology Services Inc. (DCTS), operating under the YouneeqAI brand, specializes in artificial intelligence, behavioral analytics, and real-time personalization technologies for digital platforms. The company’s expertise focuses on interpreting anonymous and in-session user behavior to improve AI-driven recommendations, engagement, and decision-making across eCommerce, media, and enterprise applications.

YouneeqAI is currently evolving its technology into a lightweight AI governance and audit layer designed to improve transparency, oversight, and validation in modern AI and agentic systems. The platform aims to help organizations better understand user intent, reduce AI interpretation errors, and provide real-time monitoring of AI-driven interactions while maintaining a privacy-first, cookieless approach.

The company’s mission is to build trustworthy, explainable, and commercially scalable AI solutions that improve digital experiences, increase operational intelligence, and support responsible AI adoption across industries.

Veuillez décrire le projet.: 

This Phase 1 project focuses on assessing, modernizing, and preparing the existing YouneeqAI technology stack for demonstration, MVP deployment, and future commercialization as a real-time AI governance and intent-validation platform. The project will evaluate the current state of the legacy personalization engine, identify architectural gaps, and determine the most efficient pathway toward a scalable and extensible MVP suitable for customer pilots, partner discussions, and investor demonstrations.

The intended outcome is a clearly defined MVP architecture, validated technical roadmap, functional demo environment, and prioritized feature set for Phase 2 commercialization and product development. The project will also establish technical feasibility for evolving the platform into a lightweight governance and audit layer capable of monitoring, validating, and improving AI-driven recommendations and user interactions in real time.

The intern(s) will assist with:

Reviewing and documenting the current platform architecture, APIs, data flows, and existing AI models
Conducting competitive and technical research on AI governance, observability, explainability, and personalization systems
Identifying technical debt, scalability constraints, and modernization opportunities
Designing and prototyping MVP workflows, dashboards, and demo scenarios
Assisting with UI/UX analysis and user journey mapping
Supporting data analysis, testing, and validation activities
Preparing technical documentation and recommendations for future development phases

The project combines both research and innovation components. It represents a product and process innovation initiative focused on improving how AI systems interpret user intent and are governed in real-time environments. Methodologies will include system analysis, comparative technology evaluation, rapid prototyping, user workflow modeling, behavioral data analysis, and iterative MVP validation techniques.

Expertise ou compétences exigées: 

The ideal intern candidate will have a background in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Human-Computer Interaction (HCI), UI/UX, or a related technical discipline. Candidates with interdisciplinary experience combining AI, analytics, and user experience design are highly encouraged.

Required skills and areas of interest include:

Understanding of AI/ML concepts, recommendation systems, or behavioral analytics
Experience with web technologies, APIs, and modern software architectures
Familiarity with data analysis, visualization, and dashboard concepts
Knowledge of cloud-based environments and scalable application design
Strong analytical, research, and problem-solving abilities
Ability to document technical findings and communicate ideas clearly
Experience with prototyping tools, workflow mapping, or UI/UX concepts

Experience with some of the following would be considered assets:

Python, JavaScript, SQL, or modern web frameworks
AI governance, explainability, observability, or agentic AI concepts
eCommerce, digital media, or personalization technologies
Cloud platforms such as AWS, Azure, or Google Cloud
LLMs, Generative AI, NLP, or real-time analytics systems
Agile development methodologies and collaborative research environments

The project is well suited for students interested in applied AI commercialization, emerging AI governance frameworks, and real-world MVP development.