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Jobs in Canada

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Added 10 mins ago
L
Security Engineer, Vulnerability Management
LiveKit
Canada
- Full-time
Experience in AI security, such as securing LLM applications or agent infrastructure.
Added 1 hour 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 1 hour ago
D
AI Deployment Strategist
Didero
Toronto, ON
- Full-time
Prior experience at a top-tier consulting firm (e.g., MBB, Big 4 strategy arm) or in a Forward Deployed Engineer–style role.
Added 1 hour ago
D
Senior AI Deployment Strategist
Didero
Toronto, ON
- Full-time
Prior experience at a top-tier consulting firm (e.g., MBB, Big 4 strategy arm) or in a Forward Deployed Engineer–style role.
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
I
AI Product Engineer
Intersog
Remote, Canada
- Full-time
- Remote
Advanced experience with AI coding agents, including executable specifications, parallel agent workflows, isolated environments, automated testing, code review, and cost management.
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
Agentic Evaluation & Testing Specialist, Kitchener, ON
Siemens
Kitchener, ON
About the role: System Testing and Agent Evaluation Specialist
Added 7 hours ago
Agentic AI Security Specialist, Kitchener, ON
Siemens
Kitchener, ON
…permission architecture, enforcement at the point where an agent calls a tool or triggers an action, isolation of execution environments, secure supply chain, and security analytics over…
Added 7 hours ago
GL
Senior Cloud Engineer
goeasy Ltd.
Mississauga, ON
- Full-time
Interest or experience in AI-assisted development and agent-based cloud solutions, including Amazon Bedrock, AgentCore Runtime, LLM architectures, or AI agents for secure and automated…
Added 9 hours ago
T
TekRek - Senior Application Security Engineer
TekRek
Vancouver, BC
- $130,000 to $150,000 CAD / year
- Full-time
…features against prompt injection, data leakage, and overly broad agent access, and drive app-level SOC 2 and PIPEDA evidence alongside incident…
Added 9 hours ago
R&
Staff AI Builder
Robots & Pencils
Canada
- Full-time
Hands-on experience with the AWS GenAI stack: Bedrock, Agent Core, Lambda, DynamoDB (single-table design), S3, SQS, EventBridge, Step Functions
Added 9 hours ago
SS
Senior Automation Engineer- Agentic AI
Sapphire Stream Technology
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The ideal candidate is a hands-on software engineer with strong Python development skills, practical experience building AI agents, and a solid understanding of validation strategies, test…
Added 10 hours ago
CC
Senior AI Platform Engineer
Cactus Club Cafe
Vancouver, BC
- $170,000 to $195,000 CAD / year
- Full-time
An Experienced Platform Engineer: You have 6+ years in cloud, platform or DevOps roles, running production systems people rely on. AWS or Google Cloud experience is preferred.
Added 11 hours ago
RR
Junior Software Engineer
Rose Rocket
Remote, Canada
- Full-time
- Remote
We are looking for a Junior Software Engineer who is eager to join a dynamic, innovative team and make a real impact in the fast-paced logistics industry. We are an AI Native Engineering…
Added 11 hours ago
P
Senior Cloud Platform Lead, Senior Manager
PwC
Ottawa, ON · Toronto, ON
- Full-time
Proven experience as a Cloud Engineer or similar role, with experience in creating and recommending solution architectures and designs.
Added 11 hours ago
FC
FLIGHT CENTRE - QA ENGINEER - VANCOUVER, BC
Flight Centre Travel Group Canada
BC · British Columbia, Canada
- Full-time
Previous experience in a QA Engineer, Test Engineer, or similar software quality assurance role.
Added 11 hours ago
FC
FLIGHT CENTRE - QA ENGINEER - TORONTO, ON
Flight Centre Travel Group Canada
ON · Ontario, Canada
- Full-time
Previous experience in a QA Engineer, Test Engineer, or similar software quality assurance role.
Added 12 hours ago
C
Software Engineer
Cisco
Ottawa, ON
- $130,400 to $181,400 CAD / year
- Full-time
Experience with rapid prototyping of AI solutions and AI workflow/agent engineering.
Added 12 hours ago
EF
Forward Deployed Engineer (FDE) Intern (8-12 month intern)
Element Fleet Management
Toronto, ON
- Full-time
…then business – delivering on our promise of a superior client experience. This takes hard work and innovation, and we need more like-minded people on our…
Added 12 hours ago
FL
Software Engineer (AI Agents)
Fluent, LLC
Remote, Canada
- $130,000 to $155,000 CAD / year
- Full-time
- Remote
Fluent is hiring its first dedicated AI Engineer. Over the past year, AI at Fluent has moved from pilots to production: a service desk agent that closes tickets without a human touch, a…
Added 13 hours ago
C
Software Engineer
Cisco
Ottawa, ON
- $116,700 to $165,800 CAD / year
- Full-time
Experience with rapid prototyping of AI solutions and AI workflow/agent engineering.
Added 14 hours ago
D
Forward Deployed Full-Stack Engineer: Next.js + AWS AgentCore
DEDICATTED
Canada
- Full-time
Experience with agent frameworks such as Strands Agents, LangGraph/LangChain, LlamaIndex or CrewAI, and an understanding of tool calling, memory, and multi-step agent orchestration.
Added 14 hours ago
A
Spécialiste principal(e) en IA appliquée/ Senior AI Engineer
AUDELA
Montreal, QC
- Full-time
…travaillons aussi avec des clients d'autres secteurs. Aucune expérience dans ces secteurs n'est nécessaire. Vous en apprendrez assez sur chacun pour distinguer une bonne réponse d'une…
Added 14 hours ago
AI Integration Engineer – Market Data & Entitlements
Capco
Toronto, ON
At Capco, we're looking for an AI Integration Engineer who combines financial market data expertise with hands-on backend engineering and API integration experience.

Jobgether

Applied AI Engineer

Canada

Full-time

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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.

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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

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