Find work in Canada.

606,433 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 13 mins ago
C
Stationary Engineer
CGT
Cambridge, ON
- $45 to $48 CAD / hour
- Full-time
As a member of the Engineering & Maintenance Team, the Stationary Engineer is responsible for the upkeep of all new thermal heaters, steam boilers, water treatment systems and other assets…
Added 13 mins ago
L
Security Engineer, Vulnerability Management
LiveKit
Canada
- Full-time
Our customers trust us with audio, video and data belonging to their own end users, so a security failure on our side puts their data and their business at risk. We are hiring a Security…
Added 13 mins ago
S
Engineering Manager
SYSTRA
Toronto, ON
- Full-time
…and Controls, EMC, Earthing and Bonding, Human Factors and Security. They will be required to proactively engage with the Metrolinx project delivery teams (PDT) and other Metrolinx…
Added 28 mins ago
AA
Manufacturing Engineer
Apex Aluminum Extrusions
Langley (District), BC · Langley, BC
- Full-time
As a Manufacturing Engineer you will evaluate, improve, and develop new production processes. You will be responsible for auditing manufacturing processes and collaborating with Production,…
Added 1 hour ago
KG
Senior Structural Engineer
KGS Group
Vancouver, BC
- Full-time
We are looking for an Senior Structural Engineer to join our Structural team in our Vancouver office. In this role you will manage projects and provide technical contributions to these…
Added 1 hour ago
J
Applied AI Engineer
Jobgether
Canada
- Full-time
Experience developing or operating enterprise-scale software, with an understanding of reliability, security, and integration requirements.
Added 1 hour ago
CL
Member of Technical Staff (Migrations)
Cockroach Labs
Toronto, ON · North York, ON
- Full-time
…CockroachDB and Cockroach Continuum. We're looking for a staff software engineer to help build out the Migration Assistant, expand the capabilities of the MOLT toolkit, and to drive…
Added 3 hours ago
TC
Staff Technology Operations Lead
TJX Companies
ON · Mississauga, Ontario
- $105,152.2 to $155,152.2 CAD / year
- Full-time
Work closely with Enterprise Architecture, Security, Infrastructure, Product and Stores Engineering teams to influence design, deployment, and support of software solutions
Added 3 hours ago
H
Senior Backend Engineer (Python/GCP)
Hays
Toronto, ON
- Contract
As a Senior Backend Engineer, you will be responsible for designing, building, and maintaining scalable backend services and APIs that support modern cloud-based applications. Working…
Added 3 hours ago
R
Founding Product & Solutions Lead
Rainharbor
Toronto, ON
- Full-time
We are building software that companies can trust with the written answers they give their customers, where a wrong answer is a broken commitment. You will be the person who makes that real…
Added 4 hours ago
LP
Power Engineer/Building Automation, Journeyperson II
Lethbridge Polytechnic
Lethbridge, AB
- Full-time
Job Title Power Engineer/Building Automation, Journeyperson II Appointment Type Full-time Continuing Position Dates Full-Time Continuing Hours per week/FTE 40 About the Position
Added 4 hours ago
M
Senior Machine Learning Engineer / Applied Scientist
Microsoft
Vancouver, BC
- Full-time
We are looking for a Senior Machine Learning Engineer / Applied Scientist to help design, evaluate, and ship the next generation of AI-powered product experiences. The role combines strong…
Added 4 hours ago
M
Software Engineer II
Microsoft
Vancouver, BC
- Full-time
As a Software Engineer II on our team, you will design, develop, test, and maintain components of highly scalable and reliable cloud infrastructure. You will solve technical challenges…
Added 4 hours ago
M
Solution Engineer - Cloud & AI Applications
Microsoft
Toronto, ON
- Full-time
…so, we invite you to join our team as a Cloud & AI Solution Engineer in AI Applications for Enterprise customers at Microsoft Canada. Here, you'll be at the forefront of innovation, working…
Added 4 hours ago
M
Cloud & AI Solution Engineer - Azure Platform
Microsoft
Toronto, ON
- Full-time
…challenges in the AI era? Join us as a Cloud & AI Solution Engineer - Azure Platform for enterprise and commercial customers at…
Added 4 hours ago
Q
Software Engineer, Machine Learning
Qualcomm
Markham, ON
- Full-time
AI’s ability to solve complex problems across multiple domains is transformative. In the AI Software team, we build the Qualcomm AI Engine direct to enables OEMs and developers to run their…
Added 4 hours ago
I
AI Product Engineer
Intersog
Remote, Canada
- Full-time
- Remote
We are looking for an AI Product Engineer to design, build, and deliver production-ready AI-powered products from end to end - from databases and backend systems to intuitive user…
Added 5 hours ago
R
Ingénieur Manufacturier Senior - Réparation de composants / Senior Manufacturing Engineer - Componen
Rolls-Royce
Montreal, QC
- Full-time
Added 5 hours ago
D
Advanced Process Control Engineer
Dexcent
Fort McMurray, AB
- Full-time
Dexcent Inc. has an opportunity for a Advanced Process Control Engineer to join our growing team in Fort McMurray, AB. The individual will be required to be on site and to relocate to…
Added 5 hours ago
P
Senior Site Reliability Engineer
Punt
Canada
- Full-time
We’re seeking a Senior Site Reliability Engineer to join Production Engineering, the team that help advance our infrastructure, security, reliability, and platform maturity. This is a…
Added 5 hours ago
P
Backend Engineer (Intermediate)
Punt
Canada
- Full-time
We're seeking an Intermediate Backend Engineer to contribute to the design, development, and operation of our next-generation social gaming platform. You'll work on concurrent systems,…
Added 5 hours ago
P
Senior Data Engineer (Lead)
Punt
Canada
- Full-time
We are looking for a Senior Data Engineer to join our Data Spine function. The team owns the canonical event contract, the warehouse, the certified data layer and the serving layer. Every…
Added 5 hours ago
P
Site Reliability Engineer (Intermediate)
Punt
Canada
- Full-time
We’re seeking a Site Reliability Engineer to help advance our infrastructure, security, reliability, and platform maturity. This is an individual contributor role for someone who can…
Added 5 hours ago
P
Senior Backend Software Engineer
Punt
Canada
- Full-time
We’re seeking a Senior Backend Engineer to help design, build, and scale our next-generation social gaming platform. You’ll work on highly concurrent systems, architecting APIs and backend…
Added 5 hours ago
P
Associate Data Engineer
Punt
Vancouver, BC
- Full-time
We are seeking an Associate Data Engineer to design, build, and maintain the core data pipelines and analytics models that power our platform. Working alongside senior engineers, you will…

Jobgether

Applied AI Engineer

Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Nov 5, 2026

Original job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an Applied AI Engineer based in Canada.

As an Applied AI Engineer, you will build and operate the core AI infrastructure that powers reliable, secure, and scalable AI features in production environments. You will focus on AI runtime architecture, agent orchestration, retrieval-augmented generation (RAG), evaluation frameworks, and safety controls. Working with proven commercial models, you will turn advanced AI capabilities into practical solutions that support mission-critical customer workflows. You will join a small, senior founding engineering team and help establish its technical standards, development practices, and evaluation discipline. The role combines hands-on engineering with close collaboration across product teams and customers. You will have the opportunity to shape a growing AI platform while ensuring that performance, cost, reliability, and measurable business value remain central to every delivery.

Accountabilities

Build and operate the AI runtime, tool-calling capabilities, and orchestration infrastructure required for production agent workflows.
Design model selection and routing strategies, balancing performance, latency, and operating costs.
Implement and improve retrieval-augmented generation (RAG), grounding, and context-retrieval systems where they demonstrably improve output quality.
Develop evaluation harnesses, golden datasets, and quality benchmarks to assess model and agent performance, support release decisions, and identify regressions or performance drift.
Establish evaluation frameworks for AI quality and implement guardrails and safety controls, treating retrieved information and tool outputs as untrusted inputs.
Take ownership of production AI behaviour, including reliability, latency, cost, and failure management.
Collaborate with product teams to determine when agent-based solutions are appropriate and when alternative approaches will deliver better results.
Partner with customers and product stakeholders to validate outcomes, identify valuable use cases, and prioritize development based on measurable impact.
Apply an iterative, value-driven approach by proving the value of focused solutions before scaling successful implementations.
Instrument AI systems and measure their impact, using evidence and performance data to guide product and engineering decisions.
Integrate automated quality assurance, testing, quality gates, and regression checks into development and delivery pipelines.
Help establish engineering standards and evaluation and safety practices across the team, while contributing to technical interviews, mentoring, and future team growth.
Promote a culture of technical excellence, customer focus, pragmatic decision-making, and effective collaboration with product teams across the organization.

Requirements

Demonstrated experience shipping software powered by large language models (LLMs) or machine learning (ML) to real production users, beyond prototypes, demonstrations, or experimental notebooks.
Strong understanding of AI evaluation methods and the ability to assess model and agent quality systematically rather than relying solely on prompt experimentation.
Ability to treat cost and latency as fundamental engineering constraints when designing and delivering AI-powered systems.
Clear communication skills, with the ability to explain technical decisions and trade-offs to engineers, product stakeholders, and customers.
A pragmatic, outcome-oriented mindset, with the ability to prioritize work based on customer needs, measurable value, and practical delivery considerations.
Strong engineering judgment and the ability to make informed decisions about where AI agents are appropriate and where simpler solutions are more effective.

The following experience is considered an advantage, but is not required:

Experience building and operating production-grade AI agents or RAG systems, including understanding their operational challenges and failure modes.
Experience implementing model routing strategies or delivering measurable reductions in AI infrastructure and operating costs.
Experience building evaluation harnesses that inform release decisions, including LLM-as-a-judge approaches calibrated against human assessments.
Familiarity with model fine-tuning, distillation, or other model optimization techniques.
Strong programming skills in Python or C#/.NET.
Experience grounding AI applications in structured, well-modeled business data.
Background in system and platform architecture, including the ability to evaluate technical trade-offs and long-term implications.
Experience developing or operating enterprise-scale software, with an understanding of reliability, security, and integration requirements.
Productive use of AI-assisted coding tools, with the technical judgment to review, validate, and supervise their output.

Benefits

Opportunity to join a founding AI engineering team and help shape the platform's architecture, technical standards, and future development.
Meaningful ownership of production AI systems supporting mission-critical customer workflows.
Close collaboration with experienced engineering and product professionals across multiple teams.
Opportunity to influence AI strategy, evaluation practices, safety standards, and team development.
Exposure to practical applications of commercial AI models, agent orchestration, retrieval systems, and enterprise-scale software challenges.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any 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 inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply About employer

More about this job

Responsibilities

Build and operate production AI infrastructure, including agent runtimes, tool calling, orchestration, model routing, RAG, evaluation frameworks, and safety controls. Own system quality and operational performance while collaborating with product teams and customers to validate use cases, measure impact, and establish engineering standards.

Requirements

Candidates must have shipped LLM- or ML-powered software to production users and be able to evaluate AI quality systematically. They should balance cost, latency, reliability, and customer value, communicate technical trade-offs clearly, and use sound judgment to choose between agent-based and simpler solutions.

Skills

Production LLM and ML Engineering
AI Evaluation
Agent Orchestration
Retrieval-Augmented Generation
AI Runtime Architecture
Model Selection and Routing
Cost and Latency Optimization
Safety Controls and Guardrails
Python
C#/.NET
System and Platform Architecture
Enterprise Software Engineering
Structured Business Data
Model Fine-Tuning and Distillation
Customer and Product Collaboration
AI-Assisted Coding

Benefits

Founding team ownership
Influence over platform architecture and technical standards
Meaningful ownership of production AI systems
Collaboration with experienced engineering and product professionals
Influence over AI strategy, evaluation practices, safety standards, and team development
Exposure to commercial AI models, agent orchestration, retrieval systems, and enterprise-scale software

Visa sponsorship

Not detected in the job text

Keywords

Large Language Models
Machine Learning
AI Runtime
Agent Orchestration
Tool Calling
Retrieval-Augmented Generation
Model Routing
Model Selection
AI Evaluation
Evaluation Harnesses
Golden Datasets
Quality Benchmarks
LLM-as-a-Judge
Guardrails
Safety Controls
Python
C#/.NET
Fine-Tuning
Distillation
Structured Business Data
Enterprise Software
System Architecture
Platform Architecture
Automated Quality Assurance
Regression Testing
Cost Optimization
Latency Optimization
Production Reliability
AI-Assisted Coding
Customer Workflows

Report this job