Software engineer jobs in Mississauga, ON and nearby

Within 25 km

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Added 1 month ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Added 1 month ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a highly skilled QA Automation Engineer with 7-10 years of experience to join our dynamic team in Toronto. The ideal candidate will play a crucial role in…
Added 1 month ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Added 1 month ago
AI
Engineering - Flight Software Engineer
Aversan Inc.
Brampton, ON
- $112,000 to $140,000 CAD / year
- Full-time
We are currently seeking a qualified Senior Flight Software Engineer/MTS to join our team. In this role, you will lead designs for safety critical, real-time software solutions while…
Added 1 month ago
SR
Senior Software Engineer
Strive Robotics
Toronto, ON
- Full-time
We are looking for a senior software engineer to build the software platform through which AI agents understand, configure, execute, and improve physical workflows. You will work across…
Added 1 month ago
CI
Salesforce Revenue Cloud Architect
CloudKettle Inc
Toronto, ON
- $135,000 to $150,000 CAD / year
- Full-time
Work with teams to help create and review estimates for technical solutions and software development.
Added 1 month ago
SI
Senior Software Engineer (Frontend), Search
Scribd, Inc.
Toronto, ON
- Full-time
Full-cycle software development will be your primary function, but we'll expect you to contribute in a number of ways, including advising on others' technical design, reviewing code,…
Added 1 month ago
Senior Software Engineer - Mobile (React Native/iOS/Android)
BitGo
Toronto, ON
BitGo is hiring a Senior Mobile Software Engineer to build the apps our retail users use to manage and move digital assets. You will own features from design through release, with a focus…
Added 1 month ago
Senior Software Engineer - Mobile Backend
BitGo
Toronto, ON
BitGo is looking for a Senior Software Engineer (Backend) to join our Mobile team and help us build the first-time user experience for our retail users.
Added 1 month ago
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Lead Developer/Application Architect - Contact Centre Space
Procom
Toronto, ON
- Contract
Added 1 month ago
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Software Development Engineer in Test
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 1 month ago
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Software Engineer, GPU Inference
Cerebras
Toronto, ON
- Full-time
We are hiring a Software Engineer to productionize and optimize our GPU serving stack, working across our custom inference APIs, the vLLM serving runtime, the AMD ROCm software stack, and…
Added 1 month ago
BC
Cloud Architect
BrainRidge Consulting
Toronto, ON
- Full-time
Added 1 month ago
AI
Senior Embedded Software Engineer
Aversan Inc.
Mississauga, ON
- Full-time
We are currently seeking a qualified Senior Embedded Software Engineer to join our team.
Added 1 month ago
AI
C++ Software Engineer
Aversan Inc.
Mississauga, ON
- Full-time
We are currently seeking a qualified Embedded Software Engineer to join our team. The successful candidate will be instrumental in using your skill and experience as part of a team to…
Added 1 month ago
IC
Application Architect – Contact Centre & Cloud Solutions
Infotek Consulting Inc.
Toronto, ON
- $65 to $72 CAD / hour
- Contract
Added 1 month ago
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Adobe Site Reliability Engineer (SRE) – CDN & Web Performance
I8IS - Infiniti Software Solutions
Toronto, ON
- 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 1 month ago
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Software Engineer in Test
LTM
Mississauga, ON
- $103,554 to $115,200 CAD / year
- Full-time
Job Role – Software Development Engineer in Test
Added 1 month ago
A
Senior Software Engineer / Member of Technical Staff (MTS)
Akkodis
Brampton, ON
- Contract
Position: Senior Software Engineer / Member of Technical Staff (MTS)
Added 1 month ago
SL
Senior Software Engineer, Operations
Sun Life
Toronto, ON
- Full-time
We are looking for a highly motivated Senior Software Engineer with at least 10 years of Java application support, analysis, and development experience. The successful candidate will have…
Added 1 month ago
AI
Senior Site Reliability Engineer - AEM - Content Delivery Network
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Added 1 month ago
AI
Flight Software Engineer
Aversan Inc.
Brampton, ON
- $112,000 to $140,000 CAD / year
- Contract
We are currently seeking a qualified Senior Flight Software Engineer/MTS to join our team. In this role, you will lead designs for safety critical, real-time software solutions while…
Added 1 month ago
T
Mainframe Software Engineer II
TD
Toronto, ON
- Full-time
TD’s Core Platform Party1 Product Group is seeking a talented Software Engineer II to support mission-critical applications including CIF (CustomerLink) , PRTCL (Party API ) and others.…
Added 1 month 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 month ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON
- Full-time
Operating at the intersection of MarTech, software engineering, data platforms, and digital experience delivery, you'll help drive Sun Life's transition to a modern, composable,…

Morningstar

Senior Software Engineer- Applied AI

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

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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.

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.

Apply on LinkedIn About employer

More about this job

Responsibilities

The role involves building and maintaining applied AI systems, including data pipelines, LLM integrations, and agentic workflows for production environments. You will also design evaluation harnesses and telemetry systems to ensure the reliability and performance of AI-driven products.

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, cloud infrastructure (AWS), and a solid understanding of data governance and evaluation methodologies are required.

Skills

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

Benefits

Hybrid work environment
Flexibility

Visa sponsorship

Not detected in the job text

Keywords

Applied AI
LLM
Python
TypeScript
Node.js
FastAPI
AWS
GraphQL
REST
Data Pipelines
RAG
MCP
Infrastructure-as-code
Containerization
Telemetry
Governance
Agentic Workflows
Evaluation Harness
Headless CMS
Cloud Architecture
Software Engineering
Investment Research
Financial Services
Prompt Engineering
Idempotency

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Software engineer jobs in Mississauga, ON and nearby

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