Software engineer jobs in Toronto, ON and nearby

Within 25 km

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Added 1 month ago
Software Engineer (Python/SQL)
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
EB
Intern - Software Engineer, Winter 2027
EQ Bank
Toronto, ON
- Volunteer
Starting in January 2027, you’ll begin your journey as a Software Engineer Intern through our Engineering Graduate Program, designed to accelerate your development through immersive,…
Added 1 month ago
D
Java Software Engineer
Dexian
Mississauga, ON
- Contract
Added 1 month ago
AI
Software Architect
Arkion Identity Systems
Toronto, ON
- Full-time
…platform for non-human identity governance. We are looking for a Software Architect to define and implement the technical architecture while ensuring compliance with modern cryptographic…
Added 1 month ago
GM
Principal Systems Architect
General Motors
Markham, ON
- Full-time
…zero emissions, and zero congestion. Our teams develop the software, systems and technology that make advanced driver assistance and autonomous driving safe, reliable and scalable across…
Added 1 month ago
Application Architect Core HR
Scotiabank
Toronto, ON
Added 1 month ago
Senior Software Engineer, OIG
Okta
Toronto, ON
Okta Identity Governance (OIG) organization is looking for a Senior Engineer to join our team - OIG is Okta’s Identity Governance and Administration solution that is directly responsible…
Added 1 month ago
Senior Software Engineer – DevTest / QA Automation
Kaseya Careers
Toronto, ON
Kaseya is seeking a Senior Software Engineer – DevTest / QA Automation to design, build, and maintain robust automated testing capabilities across enterprise software platforms.
Added 1 month ago
O
Senior Software Engineer, OIG
Okta
Toronto, ON
- $136,000 to $187,000 CAD / year
- Full-time
Okta Identity Governance (OIG) organization is looking for a Senior Engineer to join our team - OIG is Okta’s Identity Governance and Administration solution that is directly responsible…
Added 1 month ago
UC
Software Engineer (AWS)
UniSysTech Consulting
Toronto, ON
- Other
Code Quality & Architecture: Apply Object-Oriented Programming (OOP) concepts and enterprise software design patterns.
Added 1 month ago
M
Backend Engineer - Fully Remote | Upto $65 hr
Mercor
Toronto, ON
- $55 to $65 CAD / hour
- Part-time
- On-site
Added 1 month ago
AI
AWS Cloud Engineer
AptPay Inc
Toronto, ON
- $110,000 to $120,000 CAD / year
- Full-time
- On-site
…*Overview* We are seeking a passionate and highly skilled AWS Cloud Engineer to join our innovative team. In this role, you will be at the forefront of designing, implementing, and…
Added 1 month ago
A
Intermediate Software Engineer
AltaML
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
The Intermediate Software Engineer independently owns and delivers well-defined, small-to-medium complexity user stories end to end. You work AI-first by default: using Claude Code and…
Added 1 month ago
KC
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
- Full-time
We're on the hunt for a top-tier Senior Embedded Software Engineer. Your focus will be on software development and maintenance required for both space and ground-based assets for a growing…
Added 1 month ago
SH
Applied AI Software Engineer
SE Health
Markham, ON
- Full-time
The Applied AI Software Engineer is a hands-on technical role responsible for designing, building, testing, deploying, and supporting secure, reliable artificial intelligence solutions…
Added 1 month ago
Software Development Engineer II, Advertiser Growth Engine
Amazon
Toronto, ON
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
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
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
W
Senior / Staff Software Engineer, Motion Planning
Waabi
Toronto, ON
- $158,000 to $269,000 USD / year
- Full-time
Design and develop motion planning software and algorithms, building the brain which orchestrates decision making in dynamic, uncertain and interactive traffic scenarios.
Added 1 month ago
BO
Canada | Toronto | Global Technology Summer Analyst - Software Engineer | 2027
Bank of America
Toronto, ON
- Volunteer
Eligible candidates must have a graduation timeframe between November 2027 and August 2028
Added 1 month ago
ZT
Android Framework/Core OS Software Engineer, Senior
Zebra Technologies
Mississauga, ON
- Full-time
The Engineering Customer Response Team (ECRT) is seeking a Senior Software Engineer to provide world-class technical support to global enterprise customers for the Android Operating System,…
Added 1 month ago
Software Engineer II, Earnings
Toast
Toronto, ON
As a Software Engineer on our team, you will:
Added 1 month ago
Software Development Engineer II, AWS Marketplace
Amazon
Toronto, ON
Come build the platform that connects millions of AWS customers with the software they need to innovate. AWS Marketplace is one of the fastest-growing businesses at AWS, and you'll be at
Added 1 month ago
ES
Java Software Engineer
Epsilon Solutions Ltd.
Toronto, ON
- Full-time
5+ years of software development experience in Java, spanning the full application development life cycle.
Added 1 month ago
Software Engineer
Scotiabank
Toronto, ON
The primary role of Global Finance Technology is to work with the Bank's finance community to re-engineer finance processes to enhance effectiveness and efficiency. The unit is also…

Morningstar

Senior Software Engineer- Applied AI

Toronto, ON, Canada

Full-time

Apply on morningstar.wd5.myworkdayjobs.com About employer

Applications open in a new tab.

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.

Apply on morningstar.wd5.myworkdayjobs.com 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 ensure reliable production performance. You will also design evaluation harnesses, manage structured content, and mentor engineers on AI-driven development practices.

Requirements

Candidates must have at least 5 years of software engineering experience with strong proficiency in Python and production-level API development. Hands-on experience with LLM integration, cloud infrastructure, and data pipeline design is required, along with excellent written communication skills.

Skills

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

Benefits

Hybrid work environment
Flexibility

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
Applied AI
LLM
Python
TypeScript
Node.js
AWS
FastAPI
GraphQL
REST
Data Pipelines
Agentic Workflows
Cloud Architecture
Infrastructure-as-Code
Evaluation Harness
Telemetry
Headless CMS
Prompt Engineering
RAG
MCP
Containerization
System Reliability
Token-cost Management
Governance
Provenance
Auditability
Investment Research
Data Enrichment
Regression Testing
Version Control

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Software engineer jobs in Toronto, ON and nearby

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