Find work in Canada.

343,277 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 1 min ago
JG
Windows 365 Cloud Engineer
J&M Group
Toronto, ON
- Contract
We are hiring for a Windows 365 Cloud PC Engineer. This role focuses on designing, deploying, supporting, and optimizing enterprise-scale Windows 365 Cloud PC environments.
Added 1 min ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $96,557 to $128,743 CAD / year
- Full-time
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive
Added 2 mins ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring,…
Added 2 mins ago
Dev Ops Engineer (Student Position)
The Canada Life Assurance Company
Toronto, ON
We are looking for a DevOps Engineer Student who is interested in learning how modern technology platforms are built, delivered, and supported within a large enterprise environment.
Added 2 mins ago
O
Conseiller(ère) en ingénierie de données sénior
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Avoir réussi au moins 3 évaluations Microsoft Applied Skills directement en lien avec Fabric ou détenir la certification Microsoft Fabric Data Engineer Associate (DP-700);
Added 2 mins ago
Specialist Systems, IT
City of Mississauga
Mississauga, ON
3+ years of experience as a DevOps Engineer, DevOps Specialist, Cloud Engineer or in a similar role.
Added 31 mins ago
CO
Specialist Systems, IT
City of Mississauga
Mississauga, ON
- Full-time
3+ years of experience as a DevOps Engineer, DevOps Specialist, Cloud Engineer or in a similar role.
Added 31 mins ago
T
Machine Learning Engineer
TEEMA
Toronto, ON
- $115,000 to $120,000 CAD / year
- Full-time
We are looking for an experienced MLOps / DevOps Infrastructure Engineer with strong cloud, automation and software delivery experience. This role combines hands-on AWS/GCP infrastructure,…
Added 31 mins ago
W
AI Engineer/Developer
W3Global
Toronto, ON
- $60,000 to $68,000 CAD / year
- Full-time
Collaborate with development, architecture, security, and operations teams to deliver cloud solutions.
Added 32 mins ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring,…
Added 47 mins ago
A
Senior Data Engineer - Temporary
ARC'TERYX
North Vancouver, BC
- Full-time
As a Senior Data Engineer, you will lead the design and implementation of complex data architectures that drive critical business decisions across the organization. You'll architect…
Added 47 mins ago
C
Senior Python Engineer
Citi
Mississauga, ON
- Full-time
Strong background in cloud platforms (AWS, Azure, GCP), including containerization (Docker) and contributing to Kubernetes orchestration.
Added 1 hour ago
P
Software Engineer
ProxyLink
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Work with relational and cloud-based databases, including Amazon Aurora, Amazon RDS, PostgreSQL, and Oracle.
Added 1 hour ago
VT
AI Platform Developer
Volgo Technologies
Toronto, ON
- Contract
Google Cloud Professional Machine Learning Engineer certification is an advantage.
Added 1 hour ago
V
Python Software Engineer
Varonis
Vancouver, BC · Greater Vancouver, BC
- Full-time
The Company: Varonis (Nasdaq: VRNS) is a leader in data security, fighting a different battle than conventional cybersecurity companies. Our cloud-native Data Security Platform continuously…
Added 1 hour ago
Senior Data Engineer
Scotiabank
Toronto, ON
As a Senior Data Engineer within the Data & AI Technology team, you will play a critical leadership role in designing, building, and scaling enterprise grade data platforms. You will…
Added 1 hour ago
Data Engineer
MCAP
Waterloo, ON · Toronto, ON
This position is responsible for the analysis, design, execution, assessment, security, and troubleshooting of data, data pipelines, and reporting. This role is responsible for…
Added 2 hours ago
AI
Senior CDN & Edge Reliability Engineer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Added 2 hours ago
H
AI Solutions Architect
Hays
Toronto, ON
- Contract
Preferred certifications include Azure Solutions Architect Expert, Azure AI Engineer Associate, or Google Cloud Professional Machine Learning Engineer.
Added 2 hours ago
JG
GCP Data Engineer
J&M Group
Canada
- Contract
We are seeking a GCP Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be experienced in DBT for data transformation and modeling.…
Added 2 hours ago
VC
Adobe Experience Manager (AEM), SRE - CDN and Edge Delivery
VK CONSULTING SERVICES
Canada
- Full-time
We are seeking a hands-on Senior Site Reliability Engineer (SRE) with experience supporting Adobe Experience Manager (AEM), particularly Edge Delivery Services and Assets as a Cloud…
Added 2 hours ago
LS
Quality Assurance Engineer
LeverageTek Staffing Solutions
Canada
- Temporary
LeverageTek is actively seeking a Senior QA Automation Engineer (Azure Cloud) for a permanent full-time position with its Ottawa-based customer.
Added 2 hours ago
AI
GCP Data Engineer
Aptino, Inc.
Canada
- Contract
We are looking for an experienced GCP Data Engineer with strong hands-on experience in Google Cloud Platform, BigQuery, SQL, and data warehousing. Experience with dbt, Python, and…
Added 2 hours ago
SS
Adobe Site Reliability Engineer (SRE) – CDN & Web Performance
Staffmax Staffing & Recruiting
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are seeking a highly skilled and proactive Adobe Site Reliability Engineer (SRE) specializing in CDN and Web Performance to join our client's dynamic team.
Added 2 hours ago
A
Forward Deployed Engineer – AI, Data Engineering & MLOps / Toronto, ON (Onsite) - FTE
AceStack
Toronto, ON
- Full-time
Preferred: Certifications in cloud platforms, AI engineering, MLOps, data engineering, Kubernetes, enterprise architecture, or security.

Morningstar

Senior Software Engineer- Applied AI

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 5+ years of software engineering experience, including production API and data-pipeline design.
Posting language: English
Posted: Sep 18, 2026

Original job description

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.

Total Cash Compensation (Base Plus Bonus Target) : 101,800.00 - 207,000.00 CAD

If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentiality to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker.

Apply About employer

More about this job

Responsibilities

The role involves building and maintaining applied AI systems, including data pipelines, LLM integrations, and agentic workflows to ensure reliable production performance. You will also design evaluation harnesses, manage structured content, and mentor engineers on AI-driven development practices.

Requirements

Candidates must have at least 5 years of software engineering experience with strong proficiency in Python and production-level API development. Hands-on experience with LLM integration, cloud infrastructure, and data pipeline design is required, along with excellent written communication skills.

Skills

Python
TypeScript
Node.js
LLM integration
AWS
FastAPI
GraphQL
REST API
Data pipelines
Agentic workflows
Cloud architecture
Infrastructure-as-code
Evaluation design
System architecture
Structured content modeling
Telemetry

Benefits

Hybrid work environment
Flexibility

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
Applied AI
LLM
Python
TypeScript
Node.js
AWS
FastAPI
GraphQL
REST
Data Pipelines
Agentic Workflows
Cloud Architecture
Infrastructure-as-Code
Evaluation Harness
Telemetry
Headless CMS
Prompt Engineering
RAG
MCP
Containerization
System Reliability
Token-cost Management
Governance
Provenance
Auditability
Investment Research
Data Enrichment
Regression Testing
Version Control

Report this job