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Added 5 mins ago
AN
Senior Software Engineer, Linux Kernel
Arista Networks
Vancouver, BC
- Full-time
…functional and design specifications. Build automated tests and test infrastructure to validate the…
Added 5 mins ago
AN
Senior/Lead Software Engineer (Packet Forwarding Engines)
Arista Networks
Vancouver, BC
- Full-time
…will write functional specifications, design specifications, test plans, and the code to bring all of these to life. You will also work with customers to triage and fix problems in their…
Added 5 mins ago
AN
Senior/Lead Software Engineer
Arista Networks
Vancouver, BC
- Full-time
…help write functional specifications, design specifications, test plans, and the code to bring all of these to life. You will also work with customers to triage and fix problems in their…
Added 5 mins ago
AN
BIOS Senior/Lead Software Engineer
Arista Networks
Vancouver, BC
- Full-time
…work closely with hardware engineers to bring up, validate and test new CPUs in our hardware…
Added 5 mins ago
AN
Senior/Lead Software Engineer, Layer1
Arista Networks
Vancouver, BC
- Full-time
As a Layer1 software engineer, you will get to work on software that manages the physical layer, where packets meet the outside world. Stable and reliable physical connectivity is critical…
Added 1 hour ago
T
Quality Engineer II (VMS)
TD
Toronto, ON
- Full-time
Hands on role focused on test automation activities with high level of complexity
Added 2 hours ago
Manager, CAPA
Velan Inc.
Montreal, QC
Defect Investigation: Lead root cause analysis (RCA) for valve assembly failures, pressure test leaks, and machining non-conformances using 5 Whys, Fishbone, and FMEA.
Added 2 hours ago
Specialist, CAPA
Velan Inc.
Montreal, QC
Defect Investigation: Lead root cause analysis (RCA) for valve assembly failures, pressure test leaks, casting porosities, and machining non-conformances using 5 Whys, Fishbone, and FMEA.
Added 2 hours ago
KG
DevOps Engineer
Kongsberg Geospatial Ltd
Ottawa, ON
- Full-time
Our team is growing and we’re looking for a DevOps Engineer to support the engineering development operations through driving the advancement of our technical processes, frameworks, and…
Added 2 hours ago
HR
Software Analyst
Hitachi Rail
Toronto, ON
- Full-time
Design, code, debug, test, and review software components of low to medium complexity and criticality.
Added 2 hours ago
HR
Software Analyst
Hitachi Rail
Toronto, ON
- Full-time
Design, code, debug, test, and review software components of low to medium complexity and criticality.
Added 3 hours ago
Q
ASICS Design Verification Engineer (Vancouver OR Markham)
Qualcomm
Markham, ON · Vancouver, BC
- Full-time
…responsibility of the position involves comprehensive pre-silicon test planning for digital power IP's, its testbench development using the advanced verification methodology such as…
Added 3 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 3 hours ago
HR
QA/QC Engineer
Hitachi Rail
Mississauga, ON
- Full-time
Hitachi Rail STS Canada is looking for an enthusiastic self-motivated QA Engineer who thrives in a fast-paced environment. The successful candidate is comfortable performing a wide range of…
Added 3 hours ago
HR
System Design Specialist, Intermediate
Hitachi Rail
Toronto, ON
- Full-time
Design, code, debug, test, and review software solutions.
Added 3 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…
Added 4 hours ago
HR
Technical Specialist, Senior - Vital Software
Hitachi Rail
Toronto, ON
- Full-time
Design, code, debug, test, and review software solutions.
Added 4 hours ago
HR
Software Architect - Vital Software
Hitachi Rail
Toronto, ON
- Full-time
Design, code, debug, test, and review software solutions while leading design reviews and ensuring quality standards are met.
Added 4 hours ago
A
Controls Engineer
Actalent
Vancouver, BC
- $38 to $50 CAD / hour
- Full-time
The Controls Engineer / Electrical Technologist is responsible for the design, programming, commissioning, and support of industrial control systems used in complex engineered equipment and…
Added 4 hours ago
A
Hardware Engineer
Actalent
Ottawa, ON
- $55 to $65 CAD / hour
- Full-time
Troubleshoot, bring up, and optimize designs based on test results, lab findings, and field feedback.
Added 4 hours ago
A
Power Electronics Design Engineer
Actalent
Ottawa, ON
- $55 to $65 CAD / hour
- Full-time
Troubleshoot, bring up, and optimize designs based on test results, lab findings, and field feedback.
Added 4 hours ago
G
Browser Security Engineer Intern, (Winter 2026)
GeoComply
Vancouver, BC
- Internship
…proven against real customer data. Our engineers can build and test what you find. Your job is to find what they…
Added 4 hours ago
S
AI-Native Mobile QA Engineer
Snaplii
Toronto, ON · Etobicoke, ON
- $60,000 to $90,000 CAD / year
- Full-time
You take over a working test process from the person who built it, with a full handover, and a senior engineer on the team is your go-to while you settle in. After that, quality on the…
Added 4 hours ago
B
Software Engineer
BergstromChina
Montreal, QC · Urban agglomeration of Montreal, QC
- Full-time
Implementation and test of software components according to defined guidelines.
Added 4 hours ago
US
Electrical Engineer - Life Safety & Security
UL Solutions
Toronto, ON
- Full-time
…inspection and follow-up services. Establishes appropriate test programs by reviewing files and manufacturer's information, examining samples, and applying UL…

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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