Find work in Canada.

336,262 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 9 mins ago
H
Vice President & Managing Director, Canada Sales
HP
Mississauga, ON
- Full-time
Added 9 mins ago
TT
Assistant Store Manager Homesense - Milton
The TJX Companies, Inc.
Milton, ON
- Full-time
Added 9 mins ago
TT
Assistant Store Manager in Training Winners Totem Mall
The TJX Companies, Inc.
Fort St. John, BC
- $48,592.5 to $68,029.5 CAD / year
- Full-time
Added 9 mins ago
S
Animal Care Specialist - Afternoon Shift
Semex
Guelph, ON
- Full-time
Added 9 mins ago
Senior Manager, Development
Scotiabank
Toronto, ON
Added 9 mins ago
E
RPN/RN
Extendicare
Oshawa, ON · ParaMed - Oshawa (King St.)
- Full-time
Added 9 mins ago
DI
Data Engineering Lead
Definity Insurance Company
Toronto, ON
- Full-time
Added 9 mins ago
PB
CG Technical Director
Pitch Black Creative
Toronto, ON · Montreal, Québec
- Full-time
Added 9 mins ago
PB
CG Technical Director
Pitch Black Creative
Vancouver, BC · Montreal, Québec
- $80,000 to $120,000 CAD / year
- Full-time
Added 9 mins ago
PB
CG Technical Director
Pitch Black Creative
Montreal, QC
- Full-time
Added 9 mins ago
Software Developer, Subsurface Applications (Associate - Senior) Landmark
Halliburton
Calgary, AB
The Core Java Software Developer will design, develop, test, and maintain desktop software used in subsurface and geoscience engineering workflows. Working on Jupiter Subsurface…
Added 9 mins ago
T&
Senior Project Manager
Turner & Townsend
Halifax, NS
- Full-time
Added 9 mins ago
Class 1 Shipper/Receiver
CONA Services
Saskatoon, SK
Added 9 mins ago
S
Seasonal Associate
Sephora
Chilliwack, BC
- $19.85 to $24.8 CAD / hour
Added 24 mins ago
Junior Software Developer
KEV Group
Toronto, ON
You will join a small product engineering team building and maintaining the InTouch Pay web application. As a junior developer you will ship code to production early and often. You will…
Added 24 mins ago
Application Technical Architect
Capgemini
Vancouver, BC
Added 24 mins ago
AP
Power Platform Developer
Atlantic Packaging Products Ltd.
Toronto, ON · Scarborough, ON
- Full-time
Reporting to the Director, Procurement Compliance and Governance, the Power Platform Developer supports Procurement and related business teams through business intelligence, data,…
Added 24 mins ago
Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
Added 24 mins ago
A
Content Marketing Manager (12 months contract)
Amilia
Montreal, QC
- Full-time
Added 24 mins ago
B
Software Development Manager
Benevity
Remote, Canada
- Full-time
- Remote
…cloud infrastructure. Our teams are fungible: they work on developer experience (DevX) and SDLC improvements as well as core business capabilities, including financial services and…
Added 24 mins ago
B
Software Development Manager
Benevity
Remote, Canada
- $137,800 to $179,080 CAD / year
- Full-time
- Remote
…cloud infrastructure. Our teams are fungible: they work on developer experience (DevX) and SDLC improvements as well as core business capabilities, including financial services and…
Added 24 mins ago
A
Enterprise Account Executive
Airbyte
Remote, Canada
- $290,000 to $350,000 CAD / year
- Full-time
- Remote
3-5+ years of B2B sales experience within SaaS, cloud infrastructure, developer tools, or data technology, including at least 1-2+ years selling into enterprise accounts.
Added 24 mins ago
S
Junior AI-Accelerated Developer
Spare
Remote, Canada
- $70,000 to $101,000 CAD / year
- Full-time
- Remote
We are looking for a Junior AI-Accelerated Developer to help us dramatically increase engineering velocity by partnering closely with our COO and engineering team. This role is ideal for an…
Added 24 mins ago
CF
Member Services Rep
Crunch Fitness Canada
Woodbridge, ON
- $17.95 CAD / hour
- Part-time
Added 24 mins ago
Quality Assurance Specialist
Aspect Biosystems
Vancouver, BC

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

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

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 bring AI capabilities into production. You will also design evaluation harnesses and ensure the reliability and governance of AI-driven data extraction and classification processes.

Requirements

Candidates must have 5+ years of software engineering experience with strong proficiency in Python and production-level API and data pipeline design. Hands-on experience with LLM integration, RAG, and cloud-based infrastructure is required, along with the ability to design maintainable systems in a fast-paced environment.

Skills

Python
TypeScript
Node.js
AWS
LLM
RAG
FastAPI
GraphQL
REST
Data pipelines
Cloud architecture
Agentic workflows
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
Data Pipelines
Agentic Workflows
Python
TypeScript
Node.js
AWS
FastAPI
GraphQL
REST
Infrastructure-as-code
Containerization
RAG
Evaluation Harness
Cloud Architecture
Headless CMS
Telemetry
Governance
Prompt Injection
Data Enrichment
Token-cost Management
System Reliability
Version Control
Idempotency
Structured Data
Provenance
Auditability
Investment Research

Report this job