Software development jobs in Canada

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Added 1 month ago
IG
Embedded Software Engineer
Insight Global
Sainte-Anne-de-Bellevue, QC
- $50 to $60 CAD / hour
- Contract
This role is on-site x4 days per week in the west Island of Monreal
Added 1 month ago
SM
RQ11718 – Software Developer – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 1 month ago
ZC
Fullstack Developer”
Ztek Consulting
Montreal, QC
- $110,000 to $120,000 CAD / year
- Full-time
Core Java developer with 5+ years’ experience in developing, maintaining, and supporting software applications using Java/J2EE, Spring framework, and other related technologies.
Added 1 month ago
IG
Software Engineer
Insight Global
Toronto, ON
- Contract
Our client is seeking a Software Engineer. The ideal candidate is a hands-on developer with strong Python expertise, experience working with Databricks and Retrieval-Augmented Generation…
Added 1 month ago
AS
Software Developer
AgileGrid Solutions
Canada
- Full-time
McKesson is seeking a Sr. Software Developer to design, build, and scale modern software solutions that support healthcare technology innovation. In this role, you will help deliver secure,…
Added 1 month ago
AC
Full-Stack Developer
Air Canada
Dorval, QC
- Full-time
Minimum 3 years of experience in full-stack software development.
Added 1 month ago
S
Junior Software Developer
SECURE
Calgary, AB
- Other
As a Junior Software Developer, you will contribute to the development and ongoing improvement of SECURE Specialty Chemicals’ live web and offline-first mobile applications. Working…
Added 1 month ago
IG
Software Project Lead
Insight Global
Montreal, QC
- $70 to $85 CAD / hour
- Contract
This role is on-site x4 days per week in the west Island of Monreal
Added 1 month ago
CS
Senior Azure Cloud Architect
Confiar Services
Toronto, ON · Greater Toronto Area, Canada
- Contract
Added 1 month ago
HN
Senior Software Engineer
Harvey Nash
Vancouver, BC
- $140,000 to $170,000 CAD / year
- Full-time
We’re looking for a Software Development Engineer, Cloud Platform to build the infrastructure that gets vision software onto customer devices: securely, repeatably, and without a member of…
Added 1 month ago
LI
Cloud Engineer
LanceSoft, Inc.
Calgary, AB
- $50 to $55 CAD / hour
- Contract
Added 1 month ago
EG
R-106556 Développeur logiciel III (généraliste – Contenu) - Software Developer III (Full Stack - Content)
Expedia Group
Montreal, QC · Canada - Quebec - Montreal
- Full-time
Added 1 month ago
SL
Senior Software Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Senior Software Engineer – Agentic QE orchestration
Added 1 month ago
ST
Backend Developer
Soroc Technology
Toronto, ON
- $45 to $50 CAD / hour
- Contract
5+ years of backend development experience, including:
Added 1 month ago
Software Engineer
L3Harris Technologies
Montreal, QC
Job Schedule: Day Shift
Added 1 month ago
C
Software Developer, Hybrid, Ottawa, Canada
Cisco
Ottawa, ON
- Full-time
We are seeking a highly skilled Software Developer to deliver features needed for integration between Cisco Cloud Control and Cisco Catalyst Center. In this role, you will design and lead…
Added 1 month ago
MI
Intermediate Full-Stack Developer
Method Integration Inc.
Remote, Canada
- $70,000 to $90,000 CAD / year
- Full-time
- Remote
Our Development team is growing, and we're looking for a .NET Full-Stack Developer who's excited to build high-quality, customer-facing features and solve real business problems. You'll…
Added 1 month ago
K
Sr. Web Designer - Growth Foundations
Kraken
Canada
- Full-time
Added 1 month ago
V
Senior Software Engineer
Voices
ON · Ontario, Canada
- Full-time
As a Senior Software Engineer, you’ll join a high-performing development organization working in cross-functional teams to design, build, and evolve modern full-stack systems that power…
Added 1 month ago
T
Azure Cloud Engineer
TechDoQuest
Toronto, ON
- Full-time
Manage Azure infrastructure across development, lab, non-production, and production environments.
Added 1 month ago
SI
Azure Cloud Architect
STACK IT Recruitment
Hamilton, ON · Greater Hamilton (Burlington) Metropolitan Area
- Full-time
Location: Oakville, ON (Hybrid, 2 days per week)
Added 1 month ago
R&
IT - Application Architect II
Robertson & Company Ltd.
Toronto, ON
- Contract
Added 1 month ago
LH
Software Engineer, Data Acquisition
Lawrence Harvey
Montreal, QC · Greater Montreal Metropolitan Area
- $120,000 to $140,000 CAD / year
- Full-time
I’m working with a firm looking for a hands-on Software Engineer to build and operate the systems responsible for sourcing the data that powers its trading and research strategies.
Added 1 month ago
SL
Student, Associate Software Engineer (Fall, 2026)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Part-time
The Associate Software Engineer Student will join the Contact Centre Innovation & Operations (CCIO) team, helping design and deliver innovative solutions that improve the employee and…
Added 1 month ago
TT
Senior Informatica Cloud Developer – CDI & CAI – CONTRACT
Toronto Test Consultants
Canada
- Contract
Candidates must have recent, hands-on development experience with BOTH:

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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Software development jobs in Canada

Embedded Software Engineer

RQ11718 – Software Developer – Intermediate

Fullstack Developer”

Software Engineer

Software Developer

Full-Stack Developer

Junior Software Developer

Software Project Lead

Senior Azure Cloud Architect