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Huawei Canada

IT Product Engineer - HRIS

Posted 2 Days Ago
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In-Office
Markham, ON, CAN
Junior
In-Office
Markham, ON, CAN
Junior
Build and deploy AI-powered HR applications, LLM integrations, RAG pipelines, AI agents, and secure HRIS/ATS integrations. Develop automated workflows, APIs, scripts, cloud deployments, and reusable AI tooling. Implement safeguards for sensitive employee data, conduct testing, maintain privacy and security compliance, and collaborate with HR, IT security, and data-governance teams. Train HR stakeholders and document AI solutions and recommendations.
The summary above was generated by AI

Huawei Canada has an immediate 12-month contract opening for an IT Product Engineer Assistant.

About the team:

From Procurement to Finance to IT services and much more, the Quality & Operation Department provides critical support for all of Huawei Canada. This department prides itself on its ability to solve complex problems, often under tight deadlines, while provided world class service. The department’s name reflects its commitment to quality and operational excellence.

About the job:

  • Design, build, and deploy AI-powered applications and intelligent agents that solve real HR problems.

  • Develop and integrate LLM-based solutions into HR workflows, including prompt engineering, RAG (Retrieval-Augmented Generation) pipelines, and vector databases for internal knowledge bases.

  • Build and maintain AI agent frameworks with human-in-the-loop (HITL) safeguards for sensitive HR decisions, ensuring accuracy, compliance, and elimination of hallucinations.

  • Rapidly prototype new AI solutions using modern AI-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot) to accelerate iteration and deployment.

  • Design and implement secure system integrations between HRIS platforms, ATS (Applicant Tracking Systems), and other enterprise tools.

  • Build automated workflows connecting HR systems with operational tools using automation platforms and custom scripts. Write custom scripts to handle complex data transformation, API orchestration, error handling, and monitoring across the HR technology stack.

  • Create and maintain reusable AI tooling, templates, and documentation that empower HR team members to self-serve with AI capabilities. Conduct hands-on training sessions and create enablement materials to drive AI adoption across the HR organization.

  • Design secure APIs and integrations with appropriate access controls (RBAC/ABAC), secrets management, and audit logging.

  • Conduct rigorous testing of AI systems to ensure they safely handle sensitive employee and candidate PII (Personally Identifiable Information). Ensure all AI-driven systems strictly comply with data-privacy regulations.

  • Collaborate with IT security and data-governance teams to maintain enterprise standards for security, privacy, and compliance.

The total target annual compensation (based on 2,080 hours per year) ranges from $48,000 to $94,000 depending on education, experience, and demonstrated expertise.

About the ideal candidate:

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field (equivalent hands-on experience will be considered).

  • 2+ years of professional software development experience with strong proficiency in Python and/or JavaScript/TypeScript.

  • Hands-on experience building and deploying AI applications — working with LLMs (OpenAI, Anthropic, or equivalent), prompt engineering, RAG systems, and/or AI agent frameworks.

  • Proven experience designing and implementing system integrations using REST APIs, webhooks, and authentication protocols (OAuth 2.0, API keys).

  • Working knowledge of enterprise HRIS platforms (e.g., Workday, SAP SuccessFactors, BambooHR) and/or ATS systems.

  • Experience deploying and operating applications on cloud platforms (AWS, Azure, or GCP), including CI/CD pipelines, Docker containerization, and basic infrastructure management.

  • Ability to translate complex technical AI/ML concepts into clear, actionable recommendations for non-technical HR stakeholders. Strong written documentation skills.

  • Experience with AI-assisted development tools (Claude Code, Cursor, Windsurf, GitHub Copilot) as a core part of the development workflow.

  • Experience with Microsoft Copilot, Azure AI, Power Platform, or Google Workspace AI integrations. Familiarity with vector databases (Pinecone, Weaviate, pgvector) and embedding models.

  • Experience with people analytics, HR data pipelines, or reporting tools (Power BI, Tableau).

  • Knowledge of Canadian employment law and privacy regulations (PIPEDA, Quebec Law 25, BC PIPA).

Additional Information:

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.

Huawei Canada Markham, Ontario, CAN Office

19 Allstate Pky, Markham, Ontario, Canada, L3R 5A4

Huawei Canada Toronto, Ontario, CAN Office

Toronto, Canada

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