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Added 12 mins ago
UO
Associate Director, Residence Life
University of Victoria
Victoria, BC
- Full-time
Residence Services is a 24/7 operation. Some peak operating periods require work outside of regular business hours. Additionally, given the involvement with on-call and issue escalation,…
Added 13 mins ago
Sessional Lecturer, Management & Marketing, COMM 401
University of Saskatchewan
Saskatoon, SK
The Department of Management and Marketing in the Edwards School of Business invites applications for Sessional Lecturers to teach the following courses during the following session(s):
Added 13 mins ago
FL
Intermediate Staff Accountant
Fuller Landau
Toronto, ON
- Full-time
…relationships, management reporting, government filings, and general business…
Added 13 mins ago
A
Senior Director, Global Sports & Partnership Marketing
ARC'TERYX
North Vancouver, BC
- Full-time
Added 13 mins ago
SI
Wireless Sales Consultant - Full Time
Staples Inc.
Okotoks, AB
- Full-time
…self-development and interact with the larger store team and other business units to share your expertise. Primarily a sales position, you help our consumers and business customers achieve…
Added 27 mins ago
C
Account Representative- Sales Training Program (Vancouver) October 2026
CDW
Vancouver, BC
- Full-time
Prospect for new customers through a high volume of customer touchpoints to effectively grow your book of business
Added 27 mins ago
S
Structural Engineer, Building
Stantec
Trois-Rivières, QC
- Full-time
Added 27 mins ago
S
Business Advisor - Nashwaaksis, Fredericton, NB
Scotiabank
Fredericton, NB
- Full-time
Manage an assigned portfolio of high value and/or complex small business owner relationships to achieve retention and other negotiated goals while meeting Scotiabank’s Service Standard
Added 27 mins ago
GO
Program Advisor (Bilingual and Non-Bilingual)
Government of Manitoba
Winnipeg, MB
- Full-time
The Program Advisor plays a leadership role in enhancing program operations by analyzing existing business processes and training materials, participating on cross-functional teams as well…
Added 27 mins ago
GO
Supervisor
Government of Manitoba
Winnipeg, MB
- Full-time
Post-secondary education in Social Sciences, Business Administration, Project Management or a related field; a suitable combination of education and work experience may be considered.
Added 27 mins ago
GN
Co-op/intern - Mechanical Engineer
Gerdau North America
Selkirk, MB
- Volunteer
At Gerdau, our employees are the best in the business. We have high standards and our employees constantly strive to reach even higher levels of success. Gerdau's growth is based on our…
Added 27 mins ago
GN
Co-op/intern - Mechanical Engineer Technologist
Gerdau North America
Selkirk, MB
- Volunteer
At Gerdau, our employees are the best in the business. We have high standards and our employees constantly strive to reach even higher levels of success. Gerdau's growth is based on our…
Added 27 mins ago
GN
Coop/intern - Mechanical Engineer (8 Month Term)
Gerdau North America
Selkirk, MB
- Volunteer
At Gerdau, our employees are the best in the business. We have high standards and our employees constantly strive to reach even higher levels of success. Gerdau's growth is based on our…
Added 27 mins ago
TS
Toy Room Assistant Coordinator - Temporary
The Salvation Army in Canada
Kelowna, BC
- Full-time
Ability to deal effectively with the public, government, business leaders and professionals.
Added 27 mins ago
BM
Supervisor, Guest Services & Rentals - Winter - Full-Time
Blue Mountain Resort
The Blue Mountains, ON
- Full-time
Monitor labour, expenses, inventory, equipment, and operational resources to support budget targets and business objectives.
Added 27 mins ago
C
Cobol Developer
COFOMO
Quebec, QC
- Full-time
Design, develop and evolve application solutions in a mainframe environment, taking into account business needs;
Added 27 mins ago
G
THB - DockWorker Leadhand (Nights)
Gardewine
Thunder Bay, ON
- Full-time
…interpersonal skills to foster and build working relationships with business unit leaders in addition to vendors, contractors, and suppliers. Competent ability and capacity to get the job…
Added 27 mins ago
GN
Co-op/intern - Electrical Engineer
Gerdau North America
Selkirk, MB
- Volunteer
At Gerdau, our employees are the best in the business. We have high standards and our employees constantly strive to reach even higher levels of success. Gerdau's growth is based on our…
Added 27 mins ago
CC
Salt Truck Driver
Clintar Commercial Outdoor Services
Brampton, ON
- Part-time
…employment, your sole and exclusive employer is the local franchised business that hired you, not Clintar Commercial Outdoor Services. Clintar Commercial Outdoor Services does not…
Added 27 mins ago
SL
Director, Digital Servicing
Sun Life Québec
Montreal, QC
- Full-time
…landscape, clients, competitors, and strong relationships with business…
Added 27 mins ago
C&
Research Analyst - Valuation & Advisory
Cushman & Wakefield
Toronto, ON
- Full-time
Bachelor’s degree in business, economics, data science, urban geography, or a related field with a focus on real estate, analysis, or market research.
Added 27 mins ago
SR
Commercial Real Estate Broker
Suissa Realty Group
Montreal, QC
- Full-time
We’re growing - and we’re looking for motivated commercial real estate brokers who want to take their business to the next level.
Added 27 mins ago
BS
R&D Engineering Associate, Co-op/New Grad
Boston Scientific
Mississauga, ON
- Full-time
…including licensure and certifications, among other relevant business or organizational…
Added 27 mins ago
K
Project Assistant / Client Lead
Kinectrics
Toronto, ON
- Full-time
…management using SAP, and providing information on Kinectrics business…
Added 27 mins ago
SC
Merchandising Capability Analyst
Sport Chek
Calgary, AB
- Full-time
As a Capability Analyst, you will connect business strategy with day-to-day execution. You will work with stakeholders to understand challenges, define requirements, improve processes, 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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