Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region. Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce. Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally.

We are building the Intelligent Implementation Workspace, the AI-native system that will transform how customers go live on Dayforce. It is one workspace that carries an implementation from a customer's raw inputs all the way through configuration, data migration, and testing. AI agents do the heavy lifting so the experts who deliver implementations are empowered to focus on the highest-value work.

Domain agents across Workforce Management (WFM), Payroll, Core HR, and Benefits generate source-grounded configuration, tests, and data migrations. Human experts stay in the loop throughout, and their judgment remains crucial to how every customer goes live. This is a real product with a validated design and a clear path to reshape a market where implementation is one of the largest and least-disrupted spaces in enterprise software.

As a Staff Developer , you will set the technical direction for how we design and build these agentic systems. You will own a product area or platform surface end-to-end, frame the hardest system-level problems, and raise the bar for every engineer around you. You will help define the engineering foundations of an AI-native product from the ground up.

You should be comfortable setting technical direction where the right answer is not yet known and the ground is still being mapped. Set the technical direction for the Intelligent Implementation Workspace and its agentic architecture. Design the orchestration, agent, and platform layers that turn customer intent into generated, verified configuration, tests, and data migration with human-in-the-loop control throughout.





Build production-ready agentic systems, including agent orchestration across multiple domain agents, harness engineering, and evaluation infrastructure that ensures model output is grounded, auditable, and production-ready. Own the quality bar for agent output by designing evaluation frameworks and measurements that track accuracy, straight-through processing, override rates, and regressions. Lead by delivering solutions where technical risk is highest and establish engineering standards through architecture, design, and code reviews.

Act as a force multiplier by leveraging modern AI tools to accelerate design, coding, testing, debugging, and engineering practices across the team. Drive technical decisions that span services and teams while partnering with Product, Design, Machine Learning, Platform, and product engineering teams across Workforce Management, Payroll, Core HR, and Benefits. Own the reliability and production readiness of your solutions, including observability, logging, monitoring, troubleshooting, and continuous improvement.

Bring robust product judgment and make thoughtful technical trade-offs throughout delivery. Demonstrated experience building production agentic systems and architectures, including agent orchestration, evaluation frameworks (evals), and harness engineering. Strong, recent hands-on experience building production software, preferably using C# and .NET.

Strong backend development experience with front-end capability;

experience with React, TypeScript, or similar frameworks is an asset. Ability to define ambiguous system-level problems and drive complex technical decisions with significant business impact. Strong product mindset and technical judgment with the ability to balance outcomes and trade-offs.





Experience with observability, monitoring, logging, troubleshooting, and production readiness. Excellent communication and collaboration skills with both technical and non-technical stakeholders.

Experience designing evaluation frameworks and quality measurements for AI systems. A track record of raising the engineering bar across multiple teams while remaining a hands-on technical leader. Passion for solving complex systems problems and transforming them into elegant, dependable software.

A desire to help shape the future of AI-enabled enterprise implementations while continuing to grow your technical leadership. Dayforce is fueled by the diversity of our talented employees. Dayforce encourages personal and professional growth.

We offer excellent time away from work programs, comprehensive wellness initiatives and recognition through competitive pay and benefits. With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Artificial intelligence may be used in the screening, assessment, or selection of applicants for this position.

The final compensation offered may vary based on a variety of factors, including bonuses and/or incentives, or a candidate’s experience, skills, budget and location. Proficiency in English is required for this position as this role will regularly interact with English-speaking stakeholders, co-workers, managers and/or clients across the world. Further, our back office support teams, including but not limited to Human Resources, are primarily English speaking.

Employees need to be able to communicate with these departments in English to appropriately administer their business relationship. Due to the significant high volume of interactions with these English-speaking co-workers, managers, stakeholders and/or clients, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement. Pour consulter cette offre d'emploi en français, veuillez utiliser le lien: #

📌 Developer - medical (Toronto)
🏢 Dayforce
📍 Toronto