Jobs in Canada

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Added 14 hours ago
DB
System Engineer
Deep Breathe
London, ON
- Full-time
…a small team across engineering, machine learning, clinical research, regulatory, quality and operations, working on a mission to democratize…
Added 17 hours ago
B
Principal Architect, AI Platform
BMO
Toronto, ON
- Full-time
You will hold architectural oversight across the AI Platform capabilities including Developer Experience, Security, DevOps, and Data Analytics. You will work across teams and organizations…
Added 1 day ago
C
Senior Full Stack Software Engineer
CanadaVisa
Remote, Canada
- Full-time
- Remote
…stage of growth. We’re looking for a Senior Full Stack Software Engineer to help build the software that makes it…
Added 1 day ago
W
Senior Machine Learning Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
…team, you will operate at the intersection of deep applied research and scalable engineering. Whether we are developing sophisticated LLM-powered agents, advancing our next-generation AI…
Added 1 day ago
IF
Senior AI Compute Infrastructure Engineer
Ink Foundation
Canada
- Full-time
You will join a small, senior, high-impact team working directly with AI/ML researchers, platform engineers, security teams, and product teams. The mandate is simple: make Kraken's AI…
Added 1 day ago
M
Intermediate DevOps Engineer
MDA
Richmond, BC
- Full-time
Partner with AI / ML Analysts to translate research notebooks into production ready pipelines, providing tooling, best practice guidance, and code reviews
Added 4 days ago
C
Software Engineer
CARFAX
London, ON
- $82,000 to $122,000 CAD / year
- Full-time
Participate in Architecture and Design: You'll be involved in technology research, prototyping, and design decisions across cloud-native and distributed systems.
Added 4 days ago
C
Senior Software Engineer
CARFAX
London, ON
- $93,000 to $139,000 CAD / year
- Full-time
Join Team CARFAX as a Senior Software Engineer
Added 5 days 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 5 days ago
GP
Data Science Developer
Global Pharma Tek
ON · Ontario, Canada
- Contract
Job-Role/Title: Data Science /Data Engineer Developer
Added 5 days ago
A
Senior Software Engineer, Analytics and Reporting Solutions ⭐
Achievers
Toronto, ON
- Full-time
Continuously research and experiment with new tools, frameworks, and technologies to drive innovation and efficiency
Added 6 days ago
E
Principal Product Manager, Agent Intelligence
Equinix
Toronto, ON
- Full-time
Partner with security, legal and data governance to meet regulatory and confidentiality requirements, including for customers in regulated industries
Added 7 days ago
JC
Senior Machine Learning Engineer - (Biometrics)
Jumio Corporation
Montreal, QC
- Full-time
Machine Learning Engineer – Biometrics (Computer Vision)
Added 7 days ago
UH
Software Developer
University Health Network
Toronto, ON
- Full-time
Shifts: Day Shifts
Added 8 days ago
C
Senior Java Engineer – Agentic AI Driven Development
Citi
Mississauga, ON
- Full-time
Actively research and experiment with AI technologies to identify opportunities for enhancing developer productivity, automating tasks, and improving software quality:Continuously explore…
Added 11 days ago
TA
Forward Deployed Engineer (FDE) - GenAI / Agentic AI
Tiger Analytics
Toronto, ON
- Full-time
Tiger Analytics is looking for experienced Forward Deployed Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise…
Added 12 days ago
Q
Machine Learning Engineer, Frameworks & Performance (New Grad to Principal level)
Qualcomm
Markham, ON
- Full-time
Understanding trends in ML network design, through customer engagements and latest academic research, and how this affects both SW and HW design
Added 12 days ago
B
Security Engineer
Baseten
Montreal, QC
- $150,000 to $250,000 CAD / year
- Full-time
We are seeking an experienced and proactive Security Engineer to help us build, maintain, and continuously improve the security posture of our rapidly growing ML infrastructure platform. As…
Added 12 days ago
B
Security Engineer
Baseten
Toronto, ON
- $150,000 to $250,000 CAD / year
- Full-time
We are seeking an experienced and proactive Security Engineer to help us build, maintain, and continuously improve the security posture of our rapidly growing ML infrastructure platform. As…
Added 12 days ago
SF
Senior AI Engineer
Safe Fleet
Coquitlam, BC
- Full-time
We are looking for a hands-on Senior AI Engineer to build the platform that makes that possible - the shared services, agent framework, standards and tooling that allow every engineer on…
Added 12 days ago
O
Senior Technical Program Manager
OpenMined
Remote, Canada
- $127,000 to $159,000 USD / year
- Contract
- Remote
…dependencies, and delivery across our product, engineering, research, and partnerships…
Added 12 days ago
SF
Senior AI Engineer
Safe Fleet
Coquitlam, BC
- Full-time
We are looking for a hands-on Senior AI Engineer to build the platform that makes that possible - the shared services, agent framework, standards and tooling that allow every engineer on…
Added 14 days ago
Q
Machine Learning Framework, Complier & Performance Engineer
Qualcomm
Canada
- Full-time
…smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient…
Added 14 days ago
System Architect - Krembil Centre for Neuroinformatics
CAMH
Toronto, ON
…folder-per-partner model, identity federation, networking, security perimeters, and the container and AI-serving substrate - while the Data Architect leads the data models, governance, and…
Added 15 days ago
N
Forward Deployed Engineer - AI Inference Systems Research
Nutanix
Vancouver, BC
- $132,000 to $198,000 CAD / year
- Full-time
As an entry-level Forward Deployed Engineer based out of our Vancouver office, you will bridge the gap between Nutanix AI product engineering, cutting-edge systems research, and enterprise…

Urban Ridge Supplies

Senior software engineer: Applied AI

Toronto, ON, Canada

$90,489.00-$132,711.00 · Full-time

Apply on jobs.urbanridgesupplies.com About employer

Applications open in a new tab.

Job details

Pay: $90,489.00-$132,711.00
Job type: Full-time
Experience: 5+ years of software engineering experience, including production API and data-pipeline design.
Posting language: English
Posted: Sep 24, 2026

Original job description

About Morningstar

Morningstar unites problem solvers with a clear goal: helping investors achieve their financial objectives. As a leading investment research and data company, we stand out by how we apply our insights to serve a broad range of users. Our independent investment research, powered by cutting-edge technology and design, provides tailored solutions that meet users' needs. With a strong foundation in data and innovation, we deliver comprehensive services to investors worldwide, empowering better decisions for individuals and those managing money for millions.

The Role

We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces, and evaluation frameworks that make AI-driven products reliable enough to depend on. This is applied engineering rather than research; success is measured in shipped, maintainable systems. You may be a strong fit if you love working within a landscape that changes quickly, creating durable architectures with swappable parts, so new models and techniques are adopted on evidence.

The role encompasses fluency across cloud architecture and local model inference, evaluation design, agentic workflows and orchestration, API and tool design, and AI-assisted data enrichment. It also requires the engineering rigor to establish reliable sources of truth, detect regressions, and recognize when a deterministic solution is more appropriate than an AI-driven one.

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

This position is based in our Toronto office. We follow a hybrid policy of at least 4 days onsite.

Job Responsibilities

Integrate with hosted LLM inference (via centralized model gateway infrastructure) for extraction, classification, and agent orchestration workloads; evaluate open-weight models against hosted options for cost and performance tradeoffs.
Design and maintain adapters that sync source systems (CMS, event platforms, editorial, research libraries) into a governed dataset without duplicating source-of-record logic.
Build and maintain an eval harness: curate golden questions, catch regressions before release, and treat eval results as the gate for shipping.
Design MCP tools and API/GraphQL interfaces that separate "fuzzy" retrieval (ranked candidates, confidence scores) from "exact" governed lookups (deterministic, provenance-carrying).
Build and extend the pipeline that validates, resolves, and versions governed entities into a serving layer.
Design and operate LLM-driven extraction and classification agents that propose structured data for human review rather than auto-publishing unreviewed AI output.
Own structured content modeling against a headless CMS, including schema and versioning decisions that other teams depend on.
Instrument pipelines and served surfaces for freshness, adoption, and answer-quality telemetry.
Participate in and help run the weekly eval review and the biweekly skill-library session, harvesting reusable agent tooling for the team.
Mentor engineers being reskilled into applied AI work, particularly around eval design and agentic-coding practices.
Contribute governance and vocabulary decisions upstream to org-wide standards where relevant, rather than duplicating them.

Qualifications

5+ years of software engineering experience, including production API and data-pipeline design.
Comfort working with agentic coding tools daily as a core part of the workflow.
Hands-on production experience integrating LLMs: Skills, MCP, RAG, structured outputs, and tool/function calling.
Strong proficiency in Python across eval tooling, service-level code, and API development (FastAPI or similar), plus working proficiency in TypeScript/Node.js for application integrations.
Experience deploying and operating production services in AWS (or equivalent), including containerized workloads and infrastructure-as-code.
Security and privacy judgment in AI systems: handling sensitive data appropriately, and designing against failure modes like prompt injection, data leakage through prompts, and unsafe or unattributed model output.
Experience operating production systems against latency, reliability, and cost targets, including token-cost management for inference workloads.
Evaluation literacy: you can describe an eval you built, what it caught, and how you handled canonical truth, variance, and regression cases.
Experience with REST/GraphQL API design.
Solid understanding of data pipeline patterns: idempotency, versioning, and staged architectures.
Explicitly not required: formal model training or ML research credentials (e.g., pretraining, fine-tuning research). This is an applied systems role; we're looking for builders, not researchers.
Strong written communication. You can write a clear design doc, explain a tradeoff to a non-engineer, and document decisions others will build against.
Creative problem solver comfortable operating in ambiguity, with a builder's bias toward shipping over ceremony.

Nice to have

Experience evaluating or benchmarking open-weight models for cost/performance (inference-time evaluation, not training).
Experience with cloud-hosted inference services (e.g., Amazon Bedrock, Azure AI/Cognitive Services) and centralized LLM gateways (e.g., LiteLLM).
Experience with headless CMS platforms and structured content modeling.
Experience in a regulated or compliance-sensitive domain where provenance and auditability matter.

Base Salary Compensation Range

$90,489.00-$132,711.00

Incentive Target Percentage

12.5% Annual

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

100_MstarResCanad Morningstar Research, Inc. (Canada) Legal Entity

Job Id: NNnZ5ZHpVUe1r6pTesCsblJq98BPi0l6ZVhhIhXJbmTz1JWhfqqZ3uPgVH1bauYTrbchethUp6599z/1bVJuTyswaAk762lrwA==

Apply on jobs.urbanridgesupplies.com About employer

More about this job

Responsibilities

Build and operate production AI systems, including LLM integrations, data pipelines, agentic workflows, evaluation frameworks, and API or MCP interfaces. Maintain governed data and content models, monitor system quality and reliability, and mentor engineers in applied AI practices.

Requirements

Requires at least five years of software engineering experience, production experience with APIs, data pipelines, and LLM integrations, and strong Python skills with working proficiency in TypeScript and Node.js. Candidates should have experience operating cloud services, designing evaluations, managing security and privacy risks, and communicating technical decisions clearly.

Skills

Python
TypeScript
Node.js
LLM Integration
Agentic Workflows
Evaluation Design
Data Pipeline Design
API Design
GraphQL
REST
AWS
Infrastructure as Code
MCP
RAG
Structured Content Modeling
Security and Privacy

Visa sponsorship

Not detected in the job text

Keywords

Applied AI
Large Language Models
LLM Gateway
Open-Weight Models
Python
TypeScript
Node.js
FastAPI
MCP
RAG
Agentic Workflows
Tool Calling
Structured Outputs
Evaluation Harness
Golden Questions
AWS
Amazon Bedrock
Azure AI
LiteLLM
REST APIs
GraphQL
Data Pipelines
Infrastructure as Code
Containerized Workloads
Headless CMS
Data Governance
Provenance
Prompt Injection
Token-Cost Management
Human Review

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Work requirements

Jobs in Canada