Find work in Canada.

531,137 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 1 month ago
H
Principal Data Architect
Hays
Toronto, ON
- Contract
Establish best practices for data engineering, application integration, security, scalability, and performance.
Added 1 month ago
GR
Principal Application Security Specialist
Global Relay
Vancouver, BC
- Full-time
…solutions. We securely capture and preserve the communications data of the world’s most highly regulated firms, giving them greater visibility and control over their information and…
Added 1 month ago
H
Solutions Architect
Hays
Toronto, ON
- Contract
Hiring: Solution Architect (Java, Cloud & Big Data)
Added 1 month ago
EM
PySpark / Databricks Developer (Junior to Intermediate)
Electric Mind
Toronto, ON
- Full-time
- Contract
This is a good fit for someone with solid Python fundamentals and some Spark/SQL exposure who wants to grow into a data engineering specialist. You won't be expected to know Databricks…
Added 1 month ago
LH
Principal Product Applications Engineer
LeadingEdge HR Solutions
Ottawa, ON
- Full-time
The role combines customer engineering, system integration, post-silicon validation, technical troubleshooting, and product development, with significant influence on future PCIe Gen 6/7…
Added 1 month ago
Senior Software Engineer – Full Stack (AI First)
Precisely International Jobs
Canada
We are seeking an experienced and technically strong Senior Software Engineer to join our Master Data Management (MDM) product line within Precisely’s Data Integrity Suite. In this role,…
Added 1 month ago
EP
Project Estimation Manager [On-Site, Hybrid or Remote] - Gestionnaire Estimation des Projets [Sur Place, Hybride ou Télétravail] |
EDF power solutions
Montreal, QC
- Full-time
…functional coverage and technical continuity for the Senior Data Solutions Engineer during periods of absence or elevated workload demand. As such, the ideal candidate will bring a strong…
Added 1 month ago
Sr. Principal AI Architect
Open Text Corporation
Richmond Hill, ON
…solutions across its product portfolio. Working with architects and engineering leaders across business units, you will tackle complex application challenges and turn emerging AI approaches…
Added 1 month ago
A
Data Engineering Specialist
Accenture
Toronto, ON
- Full-time
Translate requirements from Performance Analytics & Insights into clear data contracts, scalable engineering solutions, and analytics-ready data products.
Added 1 month ago
L
Capital markets experience
Luxoft
Toronto, ON
- Contract
We are seeking a hands-on Data Engineer to support the Total Fund Management Portfolio Management Technology team. This role focuses on implementing reliable data solutions in a…
Added 1 month ago
Data Engineer II (Restaurant AI CoPilot)
OpenTable
Toronto, ON
Demonstrated professional experience in data engineering principles, data architecture, and software design
Added 1 month ago
JP
Data Engineer
Jim Peplinski Capital
Calgary, AB
- Full-time
4+ years of experience in data engineering, analytics engineering, or a data platform role, with real production ownership
Added 1 month ago
PM
Clinical Systems Developer
Profound Medical
Mississauga, ON
- $75,000 to $120,000 CAD / year
- Full-time
Strong data-analysis skills: interpreting logs, sensor data, and test results (e.g., Python, MATLAB, or similar).
Added 1 month ago
C
ETL Data Engineer - Assistant Vice President
Citi
Mississauga, ON
- Full-time
The ETL Data Engineer is responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team.…
Added 1 month ago
NB
Senior Data Scientist Production and Reporting Lead
National Bank of Canada
Richmond Hill, ON
- Full-time
Hold a master’s degree in a relevant field such as financial engineering, finance, statistics, mathematics, economics, computer science, or data science.
Added 1 month ago
CI
Student Intern, Test Development
Celestica International LP
Newmarket, ON
- $23 to $30 CAD / hour
With deep expertise in design, engineering, manufacturing, supply chain management and platform solutions, Celestica enables critical data center infrastructure for AI, cloud, and hybrid…
Added 1 month ago
B
Analyst, Product Support
Bombardier
Dorval, QC
- Full-time
Act as a technical bridge between Engineering (PLM/CAD), Technical Publications, IT, and external suppliers, ensuring engineering authoritative data is effectively transformed into…
Added 1 month ago
M
Senior software engineer: Applied AI
Morningstar
Toronto, ON
- Full-time
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,…
Added 1 month ago
O
Sr. Principal AI Architect
OpenText
Richmond Hill, ON
- Full-time
…solutions across its product portfolio. Working with architects and engineering leaders across business units, you will tackle complex application challenges and turn emerging AI approaches…
Added 1 month ago
O
Sr. Principal AI Architect
OpenText
Waterloo, ON
- Full-time
…solutions across its product portfolio. Working with architects and engineering leaders across business units, you will tackle complex application challenges and turn emerging AI approaches…
Added 1 month ago
O
Senior Principal AI Architect
OpenText
Waterloo, ON
- Full-time
…solutions across its product portfolio. Working with architects and engineering leaders across business units, you will tackle complex application challenges and turn emerging AI approaches…
Added 1 month ago
P
Member of Technical Staff (General Software Engineer, Infrastructure)
Perplexity
Toronto, ON
- $220,000 to $405,000 USD / year
- Full-time
Strong software engineering skills in Python or other systems or backend languages such as Go, Rust, C++, or Java.
Added 1 month ago
A
Lead Software Engineer – AI, Data Visualization & Platform
Astucemedia
Montreal, QC
- Full-time
Hands-on Engineering + Architecture + AI Adoption + Data Visualization + Platform Evolution
Added 1 month ago
Data and AI Engineering Associate (8+ months preferred)
FluidAI Medical
Kitchener, ON
This role centers around extracting clinical value from data produced by our proprietary sensors and systems (and beyond) to improve patient outcomes. We're looking for someone with solid…
Added 1 month ago
N
Software Development Engineer
Nokia
Ottawa, ON
- Full-time
Collaborate with global engineering teams to deliver innovative technologies that power the future of networking.

Morningstar

Senior software engineer: Applied AI

Toronto, ON, Canada

$90,489.00-$132,711.00 · Full-time

Apply 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 18, 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

Apply About employer

More about this job

Responsibilities

You will build and maintain applied AI systems, including data pipelines, LLM integrations, and agentic workflows to bring AI capabilities into production. Responsibilities also include designing evaluation harnesses, managing structured content, and mentoring engineers on applied AI practices.

Requirements

Candidates must have 5+ years of software engineering experience with strong proficiency in Python and production API design. Hands-on experience with LLM integration, cloud infrastructure, and data pipeline patterns is required, along with the ability to operate in a hybrid, Toronto-based environment.

Skills

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

Benefits

Hybrid work environment
Flexibility

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
Applied AI
LLM
Python
TypeScript
Node.js
FastAPI
AWS
GraphQL
REST
Data Pipelines
Agentic Workflows
RAG
MCP
Infrastructure-as-code
Containerization
Cloud Architecture
Telemetry
Headless CMS
Structured Content Modeling
Governance
Evaluation Harness
Prompt Engineering
Token-cost Management
Idempotency
Version Control
Financial Services
Investment Research
API Design
System Architecture

Report this job