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Added 6 mins ago
JI
Reliability Student/Co-op- Winter 2027
J.D. Irving, Limited
Halifax, NS
- Full-time
As a valued member of the Facilities Reliability team, you’ll work alongside experienced professionals - including the Reliability Engineer, Maintenance Inspector, Maintenance Quality…
Added 6 mins ago
N
Senior Cloud Systems Engineer (CI/CD & Data Platform)
Numeris
Toronto, ON
- Full-time
Numeris is seeking a Senior Cloud Systems Engineer to lead the design, automation, and operation of enterprise cloud platforms across AWS and Azure. This role combines deep expertise in…
Added 6 mins ago
N
Enterprise Cloud & Platform Engineer
Numeris
Toronto, ON
- Full-time
The Enterprise Cloud & Platform Engineer is responsible for the design, implementation, administration, continuous improvement, security, and operation of enterprise cloud, network,…
Added 6 mins ago
N
Principal Optical Engineer
Nokia
Ottawa, ON
- Full-time
We are seeking an experienced Principal Optical Engineer to join Nokia's optical team. You will own calibration, sustaining, and optical integration for our high-speed coherent linecard…
Added 21 mins ago
ZB
AUDIO ENGINEER/TECHNICIAN
Zeo Brothers Rental/Retail
Engineer, BC
- Full-time
The position of A1, A2, or A3 Audio Engineer requires an experienced technician to work on an event/job site. This person must demonstrate both technical abilities, crew leadership skills,…
Added 21 mins ago
AS
Site Reliability Engineer
Ardent SoftSol Inc.
Calgary, AB
- Contract
The Wealth Management Production Management Site Reliability Engineer position is a highly visible/critical role, which will be a team member of technical SMEs managing the stability and…
Added 21 mins ago
V
Site Reliability Engineer
VySystems
Calgary, AB
- Full-time
We are seeking an experienced application developer or core application support professional to improve the reliability, performance, and supportability of core software applications. This…
Added 22 mins ago
C
Software Engineer, Vice President
Citi
Mississauga, ON
- Full-time
Unit testing, reliability and improving the quality of our compute pipelines
Added 35 mins ago
P
Lead DevOps Engineer
Perceptic
Engineer, BC
- Full-time
We need a Lead DevOps Engineer to own that infrastructure end to end. You'll be the single, clear owner of how Perceptic deploys, operates, secures, and scales, across our own platform and…
Added 35 mins ago
P
Senior DevOps Engineer
Perceptic
Engineer, BC
- Full-time
We're hiring a Senior DevOps Engineer to build and run that infrastructure with us. You'll take real ownership from day one across our own platform and the isolated customer environments…
Added 35 mins ago
CE
Mechanical HVAC/Cooling Engineer (Data Center Design)
Colm Engineering Ltd
Vaughan, ON
- Full-time
We are seeking a highly skilled and experienced Mechanical HVAC/Cooling Engineer to join our team. This individual will be responsible for designing and implementing HVAC systems and fire…
Added 35 mins ago
AC
Product Development Engineer – Liquid Cooling
Amphenol Communications Solutions
Markham, ON
- Full-time
Job Title: Product Development Engineer – Liquid Cooling for Front-End I/O Connectors
Added 35 mins ago
EI
Mechanical Test Engineer
ExcelGens, Inc.
Toronto, ON
- Contract
We are seeking a Mechanical Test Engineer / Test Technician with a Mechanical Engineering or Mechatronics background to support testing and validation of mobile computing products and…
Added 35 mins ago
Y
SRE Engineer
Yochana
Calgary, AB
- Full-time
The Wealth Management Production Management Site Reliability Engineer position is a highly visible/critical role, which will be a team member of technical SMEs managing the stability and…
Added 35 mins ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
The Service team is a unique team in Development engineering responsible for enhancing the reliability and performance of Husky’s products by resolving systemic service issues. The team is…
Added 37 mins ago
A
Software Engineer (.NET / C# and AI/IoT)
Artelia
Montreal, QC
- Full-time
As a Software Engineer (.NET / C# and AI/IoT) within the Telecommunications team, you will:
Added 51 mins ago
RT
Electrical Engineer
Rio Tinto
Labrador City, NL
- Full-time
We are looking for an Electrical Engineer to support Technical Services by maintaining, developing and implementing engineering standards, systems and tools that enhance the reliability,…
Added 51 mins ago
ZL
Lead of Launch Management 73621
ZF LIFETEC
Midland, ON
- Full-time
Join us in a supportive and dynamic environment committed to safety, innovation, and reliability. As a part of our international team, your contributions spark industry-leading innovations…
Added 51 mins ago
AS
Cloud DevOps Engineer
Alquemy Search & Consulting
Vancouver, BC
- Full-time
We are seeking a skilled Cloud DevOps Engineer to join a high-performing engineering team responsible for building, scaling, and maintaining modern cloud infrastructure supporting…
Added 1 hour ago
Sr Associate Platform Engineer
Scotiabank
Toronto, ON
Excellent problem-solving and troubleshooting skills. Strong work ethic and reliability
Added 1 hour ago
M
Stagiaire en automatisation de l’assurance qualité (AQ) / QA Automation Engineer Intern - Hiver /Winter 2027
McKesson
Montreal, QC
- Full-time
McKesson is seeking a motivated and detail-oriented Quality Assurance (QA) Automation Engineer Intern to join our technology team for Winter 2027. This internship offers hands-on experience…
Added 1 hour ago
A
Software Engineer (.NET / C# and AI/IoT)
Artelia
Montreal, QC
- Full-time
As a Software Engineer (.NET / C# and AI/IoT) within the Telecommunications team, you will:
Added 1 hour ago
EL
ELYSIS- Spécialiste en industrialisation d'équipements mécaniques / Industrialization Specialist - Mechanical Equipment
ELYSIS LP
Montreal, QC
- Full-time
Added 1 hour ago
EI
Mechanical Engineering Technician
ExcelGens, Inc.
Mississauga, ON
- Contract
Job Title: Mechanical Test Engineer / Test Technician
Added 1 hour ago
C
Senior Embedded Software Engineer, RLS
Ciena
Ottawa, ON
- Full-time
Implement real-time operating system and networking protocol functionality to meet system performance and reliability requirements.

Dayforce

AI Engineer Sr

Canada

Apply About employer

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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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