Software engineer jobs in Mississauga, ON and nearby

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Added 1 month ago
SA
Senior Backend Engineer, NimbleRx
Swoop Airlines and Aviation
Toronto, ON
- $195,000 to $228,000 CAD / year
As a Senior Backend Engineer, you will have a hand in architecting the technology and customer experience that are pivotal to multiple web products for patients, pharmacies, and other…
Added 1 month ago
Senior Software Engineer, Security Engineering - Platform (Auth0)
Okta
Toronto, ON
Senior Software Engineer, Security Engineering
Added 1 month ago
Software Engineer II, Web
Pinterest
Toronto, ON
As a Software Engineer at Pinterest, you will contribute to initiatives that empower developers to build modern, world-class web experiences for Pinners with high productivity, performance,…
Added 1 month ago
Software Engineer
Scotiabank
Toronto, ON
We are seeking a highly skilled Software Engineer to design, develop, and support enterprise applications and data platforms. The role requires strong hands-on expertise in software…
Added 1 month ago
Senior Software Engineer, Foundational Infrastructure & Networking
Lyft
Toronto, ON
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
Added 1 month ago
A
Software Development Engineer II, Advertiser Growth Engine
Amazon
Toronto, ON
- Full-time
We are currently recruiting Mid-Level Software Engineers who enjoy solving technical challenges at a global scale, simplifying and eliminating complexity as well as demonstrating a high…
Added 1 month ago
C
Senior Software Engineer
Clickbase
Toronto, ON
- Contract
Added 1 month ago
HT
Senior Software Engineer (Full Stack)
Hudson Talent Solutions
Toronto, ON
- Full-time
4+ years of professional full-stack software engineering, with a strong backend focus.
Added 1 month ago
VS
Associate Software Engineer in Test
Veeva Systems
Toronto, ON
- Full-time
We're hiring Associate Software Engineers in Test to work at Veeva, working on various products in the Life Sciences industry encompassing the fields of pharmaceuticals, biotechnology, and…
Added 1 month ago
M
Senior Full Stack Software Engineer - Capital Markets
Manulife
Toronto, ON
- Full-time
We're seeking a Senior Full-Stack Engineer with strong software engineering expertise and experience in derivatives trading systems. In this role, you'll design, develop, and support…
Added 1 month ago
S
Backend Software Engineer (senior/staff)
SearchLabs
Toronto, ON
- Full-time
A strong backend engineer who's shipped and owned production systems end to end.
Added 1 month ago
E
Sr. Software Engineer - Android
eBay
Toronto, ON
- Full-time
eBay is looking for an Android Engineer who is passionate about creating apps that consumers love. This is an amazing opportunity to join a world leader in mobile commerce and directly…
Added 1 month ago
C
AI Fleet Platform Software Engineer
Cerebras
Toronto, ON
- Full-time
We are seeking a senior software engineer to build the platforms and tools that help our teams understand fleet health, respond to issues, and keep compute capacity available.
Added 1 month ago
Software Engineer
ExaCare AI
Toronto, Ontario
We are looking for a Software Engineer who is eager to grow, take ownership, and build products that solve meaningful customer problems. In this role, you will contribute to user-facing…
Added 1 month ago
T
Cloud Engineer
Tangerine
Toronto, ON
- Full-time
The Cloud Engineer will be part of the “Cloud Platform Engineering” team that is responsible for the Cloud adoption strategy and developing platform components/services for the broad…
Added 1 month ago
T
Cloud Engineer
TechDoQuest
Brampton, ON
- Contract
We are looking for a Senior Azure Data Engineer to design, develop, and optimize scalable data pipelines and cloud data solutions. The role focuses on data engineering, integration, and…
Added 1 month ago
IT - Senior Software Engineer
Mohawk Medbuy Corporation (MMC)
Toronto, ON
We are currently recruiting for a full-time Senior Software Engineer to support our IT Applications Development team. This role can be located out of our Toronto, Burlington, or London…
Added 1 month ago
Senior Software Engineer
Spotify
Toronto, ON
Spotify is looking for a Senior Software Engineer to join the Authorization team within Platform. Our team builds and operates the authorization and permissioning systems that enable…
Added 1 month ago
Cloud Engineer
Scotiabank
Toronto, ON
The Cloud Engineer will be part of the “Cloud Platform Engineering” team that is responsible for the Cloud adoption strategy and developing platform components/services for the broad…
Added 1 month ago
M
Junior Software Engineer/MTS
MDA
Brampton, ON
- Full-time
As a Junior Software Engineer/MTS, you would be part of a highly talented team to design, implement, maintain, and test safety critical, software solutions. You will have the opportunity to…
Added 1 month ago
M
Embedded Software Engineer/MTS
MDA
Brampton, ON
- Full-time
As our Embedded Software Engineer/MTS, you will be instrumental in using your skill and experience as part of a team to design, implement, maintain, and test safety critical, real-time…
Added 1 month ago
Staff Software Engineer, User Targeting
Braze
Toronto, ON
We’re looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users.…
Added 1 month ago
Senior Software Engineer I, Core Objects
Braze
Toronto, ON
We’re looking for a Senior Fullstack Engineer to help us tackle significant engineering challenges, such as: extending our high-scale ingestion pipeline to ingest new and advanced data…
Added 1 month ago
B
Staff Software Engineer, User Targeting
Braze
Toronto, ON
- Full-time
We’re looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users.…
Added 1 month ago
B
Senior Software Engineer I, Core Objects
Braze
Toronto, ON
- Full-time
We’re looking for a Senior Fullstack Engineer to help us tackle significant engineering challenges, such as: extending our high-scale ingestion pipeline to ingest new and advanced data…

Morningstar

Senior software engineer: Applied AI

Toronto, ON, Canada

$90,489.00-$132,711.00 · Full-time

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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 on LinkedIn 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

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Software engineer jobs in Mississauga, ON and nearby

Senior Backend Engineer, NimbleRx

Senior Software Engineer, Security Engineering - Platform (Auth0)

Software Engineer II, Web

Software Engineer

Senior Software Engineer, Foundational Infrastructure & Networking

Software Development Engineer II, Advertiser Growth Engine