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Added 1 hour ago
VT
Hardware Test Engineer
VANJOBS Technical Recruiters
Vancouver, BC
- Full-time
Company growth has resulted in a new opportunity for a Hardware Test Engineer to advance Richmond’s engineering operations. With a focus on hands-on testing, electrical validation, and…
Added 2 hours ago
Adobe Engineer
Capgemini
Vancouver, BC · Mississauga, ON
We are seeking a proactive and skilled Adobe Experience Platform (AEP) Customer Data Platform (CDP) Engineer to join our growing team. This hands-on role will be crucial in building,…
Added 2 hours ago
Senior Data Engineer
Capgemini
Mississauga, ON
Added 2 hours ago
RD
Senior Technical Analyst / Developer - Machine Learning & Data Engineering
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $130,000 CAD / year
- Full-time
Senior Technical Analyst / Developer (Machine Learning & Data Engineering)
Added 2 hours ago
CF
Intermediate Observability Engineer
CI Financial
Toronto, ON
- Full-time
We are seeking a Mid-Level Observability Engineer to help build, maintain, and enhance our enterprise monitoring and observability capabilities across cloud and hybrid environments. This…
Added 2 hours ago
DS
Senior Software Engineer (Azure)
DEG Services
Concord, ON
- Full-time
The Lead Software Engineer (Azure) is a senior, hands-on engineer who serves as the technical lead for the organization’s internally developed applications and integrations. The role…
Added 2 hours ago
M
Principal Cloud & AI Apps Solution Engineer
Microsoft
Toronto, ON
- Full-time
…complex customer transformations? As a Cloud & AI Apps Solution Engineer, you will bring deep technical expertise in agentic AI, AI application architecture, and cloud-native development…
Added 2 hours ago
C
AI Security Research Engineer
Centraprise
Toronto, ON
- Contract
Technical Security Research Engineer to research, prototype, evaluate, and operationalize emerging cybersecurity capabilities. This is a hands-on role for someone who can move from a…
Added 3 hours ago
VN
Senior Security Software Engineer/Developer
Vecima Networks Inc.
Canada
- Full-time
We are looking for a Senior Security Software Engineer / Developer to work directly with our software and product engineering teams to design, build, test, release, and maintain well…
Added 3 hours ago
LT
DevOps Platform Engineer
Lorven Technologies Inc.
Montreal, QC
- Contract
Job Title: Senior DevOps & Python Platform Engineering Specialist
Added 3 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 3 hours ago
C
Senior Python Engineer
Collabera
Toronto, ON
- $90 to $95 CAD / hour
- Contract
Python & Backend Development: Strong enterprise Python development experience, including building RESTful APIs and backend services.
Added 3 hours ago
H
Machine Learning Engineer
Hays
Toronto, ON
- Contract
We’re looking for a hands-on Machine Learning Engineer to develop and improve ML and deep learning models that power personalization across our retail ecosystem.
Added 3 hours ago
P
Senior Product Security Engineer
PheedLoop
Toronto, ON · North York, ON
- Full-time
Comfort in modern stacks like Python / Django, React, and AWS. You don't need to be a senior software engineer, but you can read application code, understand a deployment pipeline, and…
Added 3 hours ago
E
Senior Data Analytics & Performance Engineer
Enbridge
Calgary, AB · Edmonton, AB
- Full-time
…innovation. We are seeking a Senior Data Analytics & Performance Engineer to join our…
Added 4 hours ago
DevOps / Cloud Engineer
Capgemini
Toronto, ON
We are looking for a hands-on DevOps / OpenShift Engineer with approximately 5 to 6 years of DevOps, container platform, and cloud engineering experience. The ideal candidate will have…
Added 4 hours ago
MA
Senior Software Engineer
Milya AI
Montreal, QC
- Full-time
Role Title: Senior AI Engineer – Full-Stack & Ambient Voice (Startup / On-Site)
Added 6 hours 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 12 hours ago
L
Security Engineer, Vulnerability Management
LiveKit
Canada
- Full-time
…their data and their business at risk. We are hiring a Security Engineer to build and run our vulnerability management and security operations program. Vulnerability management is a core…
Added 12 hours ago
RV
Senior Hardware Engineer-Platforms
Ross Video
Ottawa, ON · Nepean, ON
- Full-time
The ideal candidate is a pragmatic hardware systems engineer who understands how FPGA logic, PCB construction, signal integrity, power distribution, clocks, firmware, thermal behavior, and…
Added 12 hours ago
GS
Staff Site Reliability Engineer, Application
Guidewire Software
Toronto, ON
- Full-time
…mission-critical applications. As a Staff Site Reliability Engineer, you aren't just maintaining systems; you are defining the technical vision for how we operate at scale, setting the…
Added 13 hours ago
J
Applied AI Engineer
Jobgether
Canada
- Full-time
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.
Added 13 hours ago
D
Forward Deployed Engineer
Didero
Toronto, ON
- $90,000 to $130,000 CAD / year
- Full-time
We are looking for a new-graduate Forward Deployed Engineer to join our team in Toronto. This role is for a technically strong, curious engineer who wants to work directly with customers,…
Added 13 hours ago
D
GTM Engineer
Didero
Toronto, ON
- Full-time
As a GTM Engineer at Didero, you’ll help build and scale the systems that power our go-to-market growth. Combining technical problem-solving, data, automation, and creative outbound…
Added 13 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…

Jobgether

Applied AI Engineer

Canada

Full-time

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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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