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Added 2 hours ago
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Technical Sales and Field Service Engineer
Captiveaire - Region 114 Western PA
Saskatoon, SK
- Full-time
Seeking a driven and motivated engineer to join our sales team focusing on growing business with existing customers and developing new business. This position will involve applications…
Added 3 hours ago
AS
Project Engineer (France)
AdaptiveMobile Security
Engineer, BC
- Full-time
…Enea Qosmos products to customer environments. As a software engineer on this team, you will develop custom applications or modules, implement product-specific modifications, and provide…
Added 4 hours ago
Q
ASICS Design Verification Engineer - Vancouver OR Markham
Qualcomm
Markham, ON · Vancouver, BC
- Full-time
The team is responsible for the complete verification lifecycle, from system-level concept to tape out and post-silicon support. The responsibility of the position involves comprehensive…
Added 4 hours ago
A
Manager, Software Engineering
AltaML
Toronto, ON
- Full-time
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential…
Added 4 hours ago
A
Intermediate Software Engineer
AltaML
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential…
Added 4 hours ago
RR
Hardware Test Engineer
Remote Robotic
Ottawa, ON · Kanata, ON
- $82,000 to $100,000 CAD / year
- Full-time
…technologies for mission-critical applications. Our solutions support customers across defence, public safety, security, industrial, infrastructure, energy, and government…
Added 5 hours ago
M
Security Engineer II - Identity and Access Management
Marqeta
Remote, Canada
- Full-time
- Remote
We’re seeking an experienced Security Engineer II with a strong passion for Identity and Access Management (IAM) and expertise in cloud-native environments, particularly AWS. You'll build,…
Added 5 hours ago
J
Senior Bridge Engineer
Jacobs
Ottawa, ON
- $160,000 to $210,000 USD / year
- Full-time
Your application experience is important to us, and we’re keen to adapt to make every interaction even better. If you require further support or reasonable adjustments with regards to the…
Added 6 hours ago
Director, Water and Wastewater Infrastructure Management
Region of Waterloo
Kitchener, ON
Grade: Management/Management Support Grade 12
Added 7 hours ago
GC
Technician, MiningNew
Glencore Canada
Elkford, BC
- $96,000 to $113,000 CAD / year
- Full-time
Reporting to the Senior Engineer Supervisor, Geotech the Mine technician will participate in a variety of tasks, such as: Drone photogrammetric surveys, field layout and interaction with…
Added 7 hours ago
GC
Senior Engineer, MaintenanceNew
Glencore Canada
Elkford, BC
- $123,000 to $145,000 CAD / year
- Full-time
Reporting to the Senior Supervisor, Engineer the Senior Engineer, Maintenance is responsible
Added 7 hours ago
HR
Software Analyst
Hitachi Rail
Toronto, ON
- Full-time
Conduct engineering testing in simulation environments and support investigation of field-reported issues.
Added 7 hours ago
HR
Software Analyst
Hitachi Rail
Toronto, ON
- Full-time
Conduct engineering testing in simulation environments and support investigation of field-reported issues.
Added 7 hours ago
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Senior Software Engineer
BBGC
Montreal, QC
- Full-time
We are seeking an experienced Senior Developer to support the implementation, optimisation, and transformation of Power Platform initiatives. The role requires deep understanding of the…
Added 7 hours ago
C
Building Operator
CBRE
Vancouver, BC
- Full-time
…Technical Services job function. They are responsible for providing support, preventive maintenance, and repairs on equipment and…
Added 7 hours ago
M
Dynamics 365 CRM Solution Engineer
Microsoft
Toronto, ON · Ottawa, ON · Vancouver, BC · Edmonton, AB · Calgary, AB
- Full-time
As a Dynamics 365 CRM Solution Engineer, you will lead AI transformation engagements with deep CRM domain expertise. Your role involves owning the technical win strategy and supporting AI…
Added 7 hours ago
Q
Camera Frontend Implementation Engineer
Qualcomm
Vancouver, BC
- Full-time
Execute physical-aware synthesis and implementation, and support placement-and-routing convergence.
Added 7 hours ago
Q
ASICS Design Verification Engineer (Vancouver OR Markham)
Qualcomm
Markham, ON · Vancouver, BC
- Full-time
The team is responsible for the complete verification lifecycle, from system-level concept to tape out and post-silicon support. The responsibility of the position involves comprehensive…
Added 7 hours ago
Q
Design Verification Engineer - Memory Subsystem (Vancouver OR Markham)
Qualcomm
Markham, ON · Vancouver, BC
- Full-time
Qualcomm is seeking a motivated and experienced Design Verification Engineer to join its memory subsystem verification team. The successful candidate will be responsible for developing and…
Added 8 hours ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are seeking a position of AI Engineer role for Citi based in Mississauga, ON, Canada. The role focuses on designing, building, and deploying Python-based AI/LLM applications and scalable…
Added 8 hours ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are seeking a position of AI Engineer role for Citi based in Mississauga, ON, Canada. The role focuses on designing, building, and deploying Python-based AI/LLM applications and scalable…
Added 8 hours ago
HR
System Design Specialist, Intermediate
Hitachi Rail
Toronto, ON
- Full-time
Support functional managers through training, leadership, and mentoring activities.
Added 8 hours ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are seeking a position of AI Engineer role for Citi based in Mississauga, ON, Canada. The role focuses on designing, building, and deploying Python-based AI/LLM applications and scalable…
Added 8 hours ago
A
Project Manager - Customer Projects
AltaLink
Calgary, AB
- Full-time
…Customers (Connection Proposal, Service Proposal, and Facility Application), and providing exceptional Customer Service to all internal business partners and external…
Added 8 hours ago
M
Senior Software Engineer - Card Network Integration
Marqeta
Remote, Canada
- Full-time
- Remote
Marqeta is seeking a skilled Senior Software Engineer to join the Network File Integration team. In this role, you will help design and deliver scalable software solutions for batch and…

Dayforce

AI Engineer Sr

Canada

Apply About employer

Applications open in a new tab.

Job details

Apply by: Dec 6, 2026
Posting language: English
Posted: Oct 5, 2026

Original job description

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.

About the opportunity

We are looking for an AI Engineer - Agentic Systems Evaluation to help define how we measure, test, and improve the quality of enterprise AI systems.

As AI evolves from conversational assistants and Retrieval-Augmented Generation (RAG) into tool using agents, multi-agent systems, and autonomous business workflows, evaluating only the final response is no longer enough.

An agent may reach the right answer while choosing the wrong tool, taking unnecessary steps, retrieving incorrect context, failing to escalate to a human, or violating business rules.

This role will build the evaluation frameworks needed to understand not only whether an AI system succeeded, but how it succeeded, how reliably it can repeat that outcome, and whether the architecture is appropriate for the problem.

What you’ll get to do

Build Agentic Evaluation Frameworks

Design evaluation methodologies covering the complete AI execution lifecycle:

Intent → Planning → Retrieval → Tool Use → Reasoning → Action → Business Outcome

Evaluate systems across dimensions including:

task and business outcome accuracy
planning and decision quality
retrieval quality and groundedness
tool selection and execution
agent routing and delegation
human escalation decisions
reliability and failure recovery
safety and policy compliance
latency, token consumption, and cost

Evaluate Agentic Design Patterns

Design experiments and benchmarks that help engineering teams determine which architecture works best for a given problem.

Evaluate patterns such as:

Single-agent vs. multi-agent systems
Supervisor/router architectures
Planner–executor patterns
Sequential and parallel workflows
Tool-using agents
Human-in-the-loop workflows
Long-running agents with state and memory

Measure whether additional agent complexity actually improves task success, reliability, and business outcomes enough to justify increased latency, cost, and operational complexity.

Advance RAG & Knowledge Evaluation

Build rigorous evaluation approaches for enterprise retrieval and knowledge systems, including:

retrieval precision and relevance
groundedness and citation accuracy
source authority and freshness
chunking, metadata, and indexing strategies
semantic vs. hybrid search and reranking
permission-aware retrieval

Evaluate how retrieval decisions ultimately impact downstream agent performance, rather than treating RAG evaluation as an isolated problem.

Build Automated Evaluation & Regression Testing

Develop scalable evaluation infrastructure including:

golden and synthetic datasets
scenario and adversarial test suites
deterministic graders
LLM-as-a-Judge evaluation
human evaluation workflows
trace-based evaluation
automated regression testing

Integrate evaluations into AI development and release pipelines so changes to models, prompts, retrieval, tools, or agent architectures can be measured before reaching production.

Build Agent Trace & Failure Analysis

Analyze complete agent execution traces including planning, retrieved context, tool calls, handoffs, retries, exceptions, latency, and cost.

Develop failure taxonomies that distinguish between:

Turn production failures and user feedback into measurable regression tests and engineering improvements.

Define Production AI Quality

Establish measurable quality standards and release criteria for AI systems.

Metrics may include Task Success Rate, First-Pass Success Rate, Tool Selection Accuracy, Agent Routing Accuracy, Plan Execution Fidelity, Failure Recovery Rate, Human Escalation Accuracy, Business Outcome Accuracy, Cost / Latency per Successful Task

Help teams answer a fundamental question:

Is this AI system reliable, safe, efficient, and valuable enough to operate in production?

Skills and experience we value

Strong experience with:

Python and software engineering
LLM application development
AI/ML evaluation and experimentation
automated testing and data analysis
RAG, embeddings, hybrid search, and reranking
tool/function calling and structured outputs
agent orchestration and multi-agent workflows
AI observability and tracing
APIs and enterprise integrations

Experience with platforms or frameworks such as Agents SDK, LangGraph/LangChain, Microsoft AI Foundry, Amazon Bedrock, or similar agent platforms is valuable.

You should be comfortable working with evaluation techniques such as offline/online evals, deterministic graders, model-based graders, human evaluation, synthetic datasets, adversarial testing.

What would make you stand out

You don't stop when an agent successfully completes a task. You ask:

Did it choose the right approach?
Did it use the right tools and information?
Can it succeed consistently?
Can it recover when something fails?
Did adding more agents improve the outcome?
Could a simpler architecture achieve the same result?
What did the successful outcome cost?

You turn those questions into measurable experiments that help engineering teams build better AI systems.

Why This Role Matters

Enterprise AI is moving from systems that answer questions to systems that make decisions and perform work.

That changes how quality must be measured.

The next generation of AI evaluation must measure:

What the system understood → what it retrieved → what it decided → what it did → and whether the business outcome was correct.

This role will help establish the engineering discipline required to make those systems measurable, reliable, and production-ready.

What’s in it for you

Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment.

We encourage individuals to apply based on their passions.

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. Our focus is not just on your job but on supporting you to be the best version of yourself.

This job posting is for an existing vacancy

Artificial intelligence may be used in the screening, assessment, or selection of applicants for this position.

About the Salary Ranges

Please note that the salary range mentioned in this job description should serve simply as a guide. 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. Our company is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization.

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.

Fraudulent Recruiting

Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be-aware-of-recruiting-fraud

Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process

Pour consulter cette offre d'emploi en français, veuillez utiliser le lien: https://jobs.dayforcehcm.com/fr-CA/mydayforce/alljobs

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More about this job

Responsibilities

You will design and build evaluation frameworks to measure the quality, reliability, and performance of agentic AI systems throughout their execution lifecycle. This involves creating automated regression testing, failure analysis, and benchmarking to ensure AI systems are production-ready.

Requirements

The role requires strong experience in Python, software engineering, and LLM application development, specifically with RAG and agent orchestration. Candidates should be comfortable with evaluation techniques such as offline/online evals, deterministic graders, and synthetic datasets.

Skills

Python
Software engineering
LLM application development
AI/ML evaluation
Automated testing
Data analysis
RAG
Embeddings
Hybrid search
Reranking
Tool calling
Agent orchestration
Multi-agent workflows
AI observability
Tracing
Enterprise integrations

Benefits

Time away from work programs
Wellness initiatives
Competitive pay
Charity programs

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Agentic Systems
Python
LLM
RAG
Machine Learning
Evaluation Frameworks
Automated Testing
Data Analysis
Embeddings
Hybrid Search
Reranking
Agent Orchestration
Multi-agent Workflows
AI Observability
Tracing
Enterprise Integrations
LangGraph
LangChain
Microsoft AI Foundry
Amazon Bedrock
Synthetic Datasets
Adversarial Testing
Regression Testing
Human-in-the-loop
Cloud HCM
Software Engineering
API
Failure Analysis
Production AI

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