Find work in Canada.

621,139 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 1 day ago
FE
QA Functional Tester Junior Intern
Future Electronics
Kirkland, QC
- Internship
…the Quality Assurance team while gaining hands-on experience with software testing practices in an Agile…
Added 1 day ago
MA
Senior Software Engineer
Milya AI
Montreal, QC
- Full-time
Voice & Ambient Pipelines: Build low-latency streaming audio infrastructure (WebSockets, WebRTC) with robust RAG, tool calling, and multi-agent routing.
Added 1 day ago
Senior Technical Solutions Manager, Billing, Google Cloud
Google
Waterloo, ON
Experience with web technologies (HTTP, HTML, DNS, TCP), experience reading code in a general-purpose language (e.g., Java, Python, Go) or system design, AI-assisted coding/debugging.
Added 1 day ago
C
Senior IT Infrastructure Administrator, DevOps
Confluence
Montreal, QC
- Full-time
Programming or scripting capability using a relevant language such as Python, PowerShell, Bash or Java. You do not need experience with every language listed.
Added 1 day ago
Q
Lead Software Test Framework Engineer
Qualcomm
Markham, ON
- Full-time
QUALCOMM is the world's leading developer of next-generation wireless and multimedia technology. QUALCOMM is committed to building a world-class organization that will lead the industry in…
Added 1 day ago
AF
Principal, AI Agent Control & Governance
ATB Financial
Calgary, AB
- Full-time
…velocity is maximized while maintaining audit-ready alignment with OSFI regulatory expectations (Guideline E-23 Model Risk Management, E-21 Operational Risk), enterprise risk appetites, and…
Added 1 day ago
C
Senior IT Infrastructure Administrator, DevOps
Confluence
Toronto, ON
- Full-time
Programming or scripting capability using a relevant language such as Python, PowerShell, Bash or Java. You do not need experience with every language listed.
Added 1 day ago
Manager, Agent Development, Applied AI
Google
Toronto, ON · Waterloo, ON
Like Google's own ambitions, the work of a Software Developer goes way beyond just Search. Software Development Managers have not only the technical expertise to take on and provide…
Added 1 day ago
Operations Analyst (Toronto-based) – Remote
Agoda
Toronto, ON
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people…
Added 1 day ago
AS
Applied Scientist II, Sponsored Products and Brands Agent
Amazon Science
Toronto, ON
- Full-time
…transforming how millions of customers discover products and engage with brands across Amazon.com and beyond. We are bridging human creativity with artificial intelligence to transform…
Added 1 day ago
SI
Lead Applied AI Scientist
S-Solutions Inc- a SyeDyn Company
Toronto, ON · Greater Toronto Area, Canada
- Contract
7+ years in AI/ML, with at least 2 years building GenAI, agentic AI, or LLM-based solutions.
Added 1 day 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 1 day ago
RV
Senior Hardware Engineer-Platforms
Ross Video
Ottawa, ON · Nepean, ON
- Full-time
…practical hardware problem-solving. You will work directly with prototype hardware, lab equipment, FPGA tools, embedded software, PCB designers, and cross-functional engineering teams to…
Added 1 day ago
RD
Technical Customer Success Manager
Redpanda Data
Canada
- Full-time
…combines streaming, SQL analytics, and intelligent connectivity with the governance layer enterprise AI agents need in…
Added 1 day ago
GS
Staff Site Reliability Engineer, Application
Guidewire Software
Toronto, ON
- Full-time
Software Engineering Acumen: A deep software engineering foundation, with the ability to write production-grade code in major languages like Python, Go, C++, C#, or Java with a strong…
Added 1 day ago
C
Applied Machine Learning Research Scientist
Cerebras
Toronto, ON
- Full-time
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750…
Added 1 day ago
J
Applied AI Engineer
Jobgether
Canada
- Full-time
…(RAG), evaluation frameworks, and safety controls. Working with proven commercial models, you will turn advanced AI capabilities into practical solutions that support mission-critical…
Added 1 day ago
D
Forward Deployed Engineer
Didero
Toronto, ON
- $90,000 to $130,000 CAD / year
- Full-time
…and workflow automations. Our core platform uses Django and Python; we care more about strong fundamentals and solving customer problems than prior years of experience with any single…
Added 1 day ago
D
GTM Engineer
Didero
Toronto, ON
- Full-time
At Didero, we’re building the autonomous supply chain, starting with agentic supplier management.
Added 1 day ago
CL
Member of Technical Staff (Migrations)
Cockroach Labs
Toronto, ON · North York, ON
- Full-time
You'll report to Eric Alton, who leads the Migrations and Observability teams, and work closely with other engineers, SREs, and our product and design teams.
Added 1 day ago
HT
Intermediate Software Developer
Hirematic Talent Solutions
Toronto, ON
- $40 to $45 CAD / hour
- Full-time
We are seeking a Power BI Developer to support the development, maintenance, and enhancement of enterprise reporting and analytics solutions. The successful candidate will work closely with…
Added 1 day ago
Q
FY27 Intern - Telemetry Firmware, Driver and Tools Developer Internship - Canada (16 months)
Qualcomm
Markham, ON
- Full-time
Familiarity with scripting languages such as Python.
Added 1 day ago
E
Specialist I, IT Enterprise GIS Technical Specialist
Enbridge
Calgary, AB · Edmonton, AB · Toronto, ON · North York
- Full-time
Strong experience with ArcGIS REST APIs, REST services, feature services and enterprise integrations; proficiency in Python, ArcPy or ArcGIS API for Python, with working knowledge of SQL…
Added 1 day ago
H
Senior Backend Engineer (Python/GCP)
Hays
Toronto, ON
- Contract
Collaborate with cross-functional engineering teams on solution design and delivery
Added 1 day 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…

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