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Added 13 mins ago
LA
SYSTEMS ENGINEER
LayerZero Asia
Vancouver, BC
- Full-time
We’re seeking a Systems Engineer to join LayerZero. In this role, you’ll build the foundational systems that power our execution and infrastructure layers, including Zero.
Added 13 mins ago
LA
BACKEND ENGINEER
LayerZero Asia
Vancouver, BC
- Full-time
We're seeking a talented Backend Engineer to join our team at LayerZero, where you'll play a pivotal role in revolutionizing blockchain interoperability and shaping the future of…
Added 13 mins ago
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Senior Software Engineer – DevTest / QA Automation
Kaseya
Toronto, ON
- Full-time
The role requires an engineer who can leverage AI assisted development tools and coding agents to accelerate automation, analyze existing codebases, generate and validate test scenarios,…
Added 43 mins ago
MA
Senior AI Engineer
Meeru AI Inc
Remote, Canada
- Other
- Remote
You'll build the machine-learning models that learn each customer's patterns, the LLM and agentic systems that produce grounded natural-language output, and help uphold the rigor that keeps…
Added 57 mins ago
MC
Industrial engineer
MSSC Canada Inc
Chatham, ON
- $90,000 to $100,000 CAD / year
- Full-time
- On-site
Design manufacturing systems to optimize the use of computer networks, robots and materials
Added 1 hour ago
NW
Project Engineer-Evolve Recycling
North West Rubber Colorado
Brantford, ON
- Full-time
Based in Brantford, Ontario, The Project Engineer is responsible for leading cross-functional teams to plan, coordinate, and execute engineering and capital projects that support…
Added 1 hour ago
ST
AI Engineer Intern
Soft Techniques
Engineer, BC
- Internship
Description Join Soft Techniques as an AI Engineer Intern and work on cutting-edge AI systems used by real businesses. You will collaborate with our engineering team to build and improve AI…
Added 2 hours ago
AC
D365 F&O Functional Analyst
Aston Carter
Richmond, BC
- Full-time
Experience working with ERP systems and familiarity with manufacturing and engineer-to-order (ETO) environments.
Added 4 hours ago
FS
Electrical Engineer – HVAC Motor Systems
Five Seasons Comfort Limited
Concord, ON
- Full-time
The Electrical Engineer will be responsible for supporting the design, development, testing, and improvement of electric motor systems used in HVAC and air-cleaning equipment. The role will…
Added 5 hours ago
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Principal Machine Learning Engineer, AISWP (Hybrid)
Cisco
Vancouver, BC
- Full-time
Join our team as a Principal Forward Deployed Engineer to shape the future of our AI-powered platforms. You will:
Added 5 hours ago
PC
Design Engineer
Port City Young Professionals, LLC
Engineer, BC
- Full-time
The Design Engineer is responsible for the due diligence investigations as well as preliminary design and engineering analyses of various types of retail, commercial, industrial and…
Added 5 hours ago
AV
Audio recording studio operator
Audio Visual Services (Canada) Corp. DBA PSAV
Lake Louise, AB
- $30 to $35 CAD / hour
- Full-time
- On-site
Prepare and operate videotape recording and playback equipment and edit video tape after production
Added 5 hours ago
MR
Staff Site Reliability Engineer/ Azure
Motion Recruitment
Toronto, ON
- Full-time
As a Staff Site Reliability Engineer, you'll have the opportunity to take real ownership of platform reliability, shape the future of infrastructure strategy, and help build resilient…
Added 6 hours ago
PE
Intermediate/Senior Industrial Control Systems Engineer/Technologist - VIC-1070
PBX Engineering
Victoria, BC
- $95,000 to $130,000 CAD / year
- Full-time
PBX is looking for an Intermediate/Senior Industrial Control Systems Engineer/Technologist to work with the Integrated Systems (Automation) team and other engineers in delivering projects…
Added 6 hours ago
W
Associate Technical Consultant
Worley
Calgary, AB
- Full-time
The Principal Process Automation & Controls Engineer is responsible for providing control system engineering support for industrial facilities and projects. The role requires an…
Added 6 hours ago
B&
Project Manager - Transmission & Distribution (Toronto)
Burns & McDonnell
Toronto, ON
- Full-time
Develop and implement project policies and procedures, establish project controls systems, create and implement the project execution plan. Align project execution with client-specific…
Added 7 hours ago
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Asset manager - Wind turbine performance / Gestionnaire d'actifs - Performances des éoliennes
ENERCON - Sweden
Montreal, QC
- Full-time
Added 7 hours ago
W
Senior Technical Consultant
Worley
Calgary, AB · Edmonton, AB
- Full-time
Support and maintain plant control systems, DCS platforms, Safety Instrumented Systems (SIS), HMI/SCADA applications, and associated industrial networks.
Added 7 hours ago
M
Senior Software Engineer - Backend
Microsoft
Vancouver, BC
- Full-time
Experience working on high-throughput, production systems where scalability, latency, and stability are critical.
Added 7 hours ago
V
Senior Specialist Geotechnical Engineer
Vale
Canada
- Full-time
We are currently seeking a Senior Specialist Geotechnical Engineer to join our Geotechnical - Dams team in Sudbury. The role is a permanent on-site position.
Added 7 hours ago
I
Software Engineer
Insight
Remote, Canada
- Full-time
- Remote
We are seeking a highly skilled and experienced Software Engineer to join Insight's Application Development department. This is a department role rather than a position on a single customer…
Added 7 hours ago
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Senior Software Engineer, NeMo Helix Core Platform
NVIDIA
Toronto, ON
- Full-time
We are looking for a Senior Software Engineer to help build NeMo Helix, NVIDIA’s product for developing, evaluating, deploying, and operating AI systems at scale. This role is for a senior…
Added 8 hours ago
AH
AI/ML Engineer
Axon Health
Ottawa, ON
- Full-time
…safely on their most sensitive data. We're hiring an AI/ML Engineer to build the permission-aware knowledge graph and safety layer behind Axon Health's AI…
Added 9 hours ago
E
Senior Structural Engineer
Entuitive
AB · Edmonton, AB
- $95,000 to $125,000 CAD / year
- Full-time
Entuitive is looking for a Senior Structural Engineer, based in our Edmonton office to be part of our Structural Engineering team. Take the opportunity to learn more about the structural…
Added 9 hours ago
U
Full-Stack Software Engineer
Ultrassure
Remote, Canada
- Full-time
- Remote
We are hiring a Full-Stack Software Engineer to help build the next generation of the platform.

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

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

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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

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