Find work in Canada.

606,679 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 1 hour ago
GS
Staff Site Reliability Engineer, Application
Guidewire Software
Toronto, ON
- Full-time
This is a senior leadership role with global reach. You will act as a Staff Site Reliability Engineer (P5), providing deep technical expertise and cross-team architectural influence,…
Added 2 hours ago
J
Applied AI Engineer
Jobgether
Canada
- Full-time
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…
Added 2 hours ago
CL
Member of Technical Staff (Migrations)
Cockroach Labs
Toronto, ON · North York, ON
- Full-time
…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 innovation around…
Added 3 hours ago
AH
AI Product Engineer
Angel Host
Montreal, QC
- Full-time
As our AI Product Engineer, you will build, validate and ship products across both Sentinel and Angel Host, using AI-assisted development as your primary way of working. You will report to…
Added 3 hours ago
AH
AI Product Engineer IT - Montréal, Quebec (Hybrid)
Angel Host
Montreal, QC
- Full-time
As our AI Product Engineer, you will build, validate and ship products across both Sentinel and Angel Host, using AI-assisted development as your primary way of working. You will report to…
Added 4 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 5 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 6 hours ago
P
Frontend Software Engineer (Intermediate)
Punt
Canada
- Full-time
We are seeking an Intermediate Frontend Engineer to help build and scale the frontend for our online social gaming platform. This is a hands-on engineering role for someone with solid…
Added 6 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 6 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 6 hours ago
P
Senior Frontend Software Engineer
Punt
Canada
- Full-time
We are seeking a Senior Frontend Engineer to help design, build, and scale the frontend architecture for our online social gaming platform. This is a hands-on engineering role for someone…
Added 6 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…
Added 6 hours ago
'
Forward Deployment Engineer
''
Toronto, ON
- Full-time
The Forward Deployment Engineer is accountable for owning high-value AI use cases from problem discovery through delivery, adoption, and measured business value. This role embeds directly…
Added 6 hours ago
'
Associate Cloud Engineer
''
Florenceville-Bristol, NB
- Full-time
McCain is seeking an Associate Cloud Engineer to join our Infrastructure, Engineering & Operations team. In this early-career role, you will help deploy, operate, secure, and monitor cloud…
Added 7 hours ago
Senior Software Engineer - Kubernetes platform
Cloudflare
Toronto, ON
…those responsible for Cloudflare’s control plane and APIs, data analytics and other internal tools used to manage our global network. These Kubernetes platforms are purpose-built from the…
Added 7 hours ago
N
Sr AI Engineer
Nutrien
Saskatoon, SK
- Full-time
Purpose Serves as the senior hands-on technical builder within AI Engineering - translating business opportunities into production-ready AI solutions and reusable AI capabilities, while…
Added 7 hours ago
N
Sr AI Engineer
Nutrien
Calgary, AB
- Full-time
Purpose Serves as the senior hands-on technical builder within AI Engineering - translating business opportunities into production-ready AI solutions and reusable AI capabilities, while…
Added 7 hours ago
T
Senior Full Stack Engineer, People Products
Thumbtack
Remote, Canada
- Full-time
- Remote
Comfort operating with a high degree of autonomy as the primary engineer on a product area, and a track record of raising the technical bar for the people around you.
Added 8 hours ago
MC
Data Analyst – Power BI Microsoft Fabric (36191)
Myticas Consulting
Ottawa, ON
- Full-time
Reporting to a senior technology leader and working closely with a Data Architect, you will design and maintain dashboards, reports, data models and analytical solutions using Microsoft…
Added 8 hours ago
C
Senior Data Engineer
CIBC
Toronto, ON
- Full-time
As a Senior Data Engineer, you'll provide technical leadership for the design and delivery of data products on CIBC's modern data platforms. You'll work closely with business partners and…
Added 8 hours ago
GL
Senior Cloud Engineer
goeasy Ltd.
Mississauga, ON
- Full-time
The Senior Cloud Engineer designs and builds goeasy’s AWS platforms with DevOps and automation at the core. The key focus of the role is to replace manual administration (ClickOps) with…
Added 9 hours ago
T
Software Engineer II
TD
Toronto, ON
- Full-time
As a Software Engineer II, you provide technical expertise to implement scalable, reliable and secure solutions for EDMO Data Catalog services. You contribute to solutions that operate…
Added 9 hours ago
C
Azure Cloud Platform Engineer
Centraprise
Toronto, ON
- Contract
Requirement - Senior Azure Platform Engineer:
Added 9 hours ago
AP
Founding Product Manager
AMZ Prep
Remote, Canada
- Full-time
- Remote
This is a hands-on individual contributor role. You bring the judgment of a senior or principal product manager into a small, fast-moving team. We care more about what you have built and…
Added 9 hours ago
RE
EOS Principal Software Engineer
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Rodan Energy is seeking a technically versatile Senior Software Engineer to build and evolve industry-leading Energy Optimization Solutions (EOS) and help shape the future of software,…

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