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Added 17 mins ago
Q
Sr Staff/Principal DevOps Engineer, Machine Learning Infrastructure and Performance
Qualcomm
Markham, ON
- Full-time
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work…
Added 1 hour ago
Senior Network Monitoring Engineer
Rogers Communications
Montreal, QC
…integrate and optimize scalable, high-performance monitoring systems that enhance network visibility, performance optimization, operational automation and incident resolution. Although this…
Added 1 hour 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 2 hours ago
E
Senior Sub-System Design Engineer
Ericsson
Ottawa, ON
- Full-time
…networks worldwide. We are seeking a Senior Sub-System Design Engineer to join our Product Systems & Integration (PSI) organization, specifically within the Performance & Allocation…
Added 2 hours ago
CS
Data Engineer
Curis Solutions
Engineer, BC
- Full-time
We are seeking a skilled and motivated Data Engineer with a strong focus on designing, implementing, and optimizing ETL pipelines. The ideal candidate will bring extensive experience in…
Added 2 hours ago
TT
Digital Controls Technical Specialist
Trane Technologies
Montreal, QC
- Full-time
Oversee system architecture, configuration, and integration for Cloud BMS deployments. Lead remote troubleshooting, optimization, and commissioning efforts for IoT devices, HVAC controls,…
Added 2 hours ago
L
Software Engineer - Product Lifecycle Information Management
lululemon
Vancouver, BC
- Full-time
The ideal candidate performs the development of high-performing, well-tested, and thoughtfully architected software applications that satisfy our internal business needs & power guest…
Added 3 hours ago
A
Systems Validation Engineer - Data Center GPU
AMD
Markham, ON
- $84,000 to $126,000 USD / year
- Full-time
As a Systems Validation Engineer within the Datacenter and GPU Accelerated Processing division, you will execute on SOC and system/rack level validation, triage and debug for the AMD Data…
Added 3 hours ago
AS
Design Engineering Manager, Integrated Automation & Control Solution
Arrow Speed Controls
Richmond, BC
- Full-time
…date, we are a trusted partner across the heavy industries. We engineer and assemble speed control equipment for a wide range of electric motor applications. In addition to VFD's, we also…
Added 3 hours ago
Integration & Test Software Engineer
L3Harris Technologies
Montreal, QC
Job Title: Integration & Test Software Engineer
Added 3 hours ago
FM
Controls Engineer
Federal Mfg
Oakville, ON · CA ON Oakville
- Full-time
Zarpac is a leading global provider of packaging line engineering, integration, and productivity solutions. We are currently seeking a Controls Engineer to join our team in Oakville.
Added 4 hours ago
E
Senior Sub-System Design Engineer
Ericsson
Ottawa, ON
- Full-time
…networks worldwide. We are seeking a Senior Sub-System Design Engineer to join our Product Systems & Integration (PSI) organization, specifically within the Performance & Allocation…
Added 4 hours ago
BP
Field Applications Software Engineer
Botic Partners
Zurich, ON
- Full-time
You will join the applications team to demonstrate and deploy the company's technology on customer systems, across AI, signal-processing and cryptography workloads. The role sits at the…
Added 4 hours ago
HA
Senior Engineer – Systems (Powerplant)
Horizon Aircraft
Kawartha Lakes, ON · Lindsay, ON
- Full-time
Horizon is seeking an open, enthusiastic Senior Engineer – Systems (Powerplant). Your role involves the integration, installation, development, and certification of aircraft propulsion…
Added 4 hours ago
IG
Data Engineer
Insight Global
Toronto, ON
- $50 to $53 CAD / hour
- Contract
…designing, building, and maintaining scalable data pipelines and integration solutions that support enterprise reporting, analytics, and business operations. This role works closely with…
Added 5 hours ago
TC
mechanical design engineer
Trans-United Consultants Ltd.
Mississauga, ON
- $60,000 to $70,000 CAD / year
- Full-time
- On-site
Added 5 hours ago
HA
Senior Engineer – Performance
Horizon Aircraft
Kawartha Lakes, ON · Lindsay, ON
- Full-time
Horizon is seeking an open, enthusiastic Senior Engineer – Performance. Your role involves developing, running, analysing and validating results of the platform performance models for the…
Added 5 hours ago
HA
Senior Engineer – Simulation
Horizon Aircraft
Kawartha Lakes, ON · Lindsay, ON
- Full-time
We are seeking a highly motivated Senior Engineer – Simulation to progress the development of an integrated aircraft simulation environment supporting our next-generation aircraft…
Added 5 hours ago
HA
Senior Embedded Software Engineer
Horizon Aircraft
Kawartha Lakes, ON · Lindsay, ON
- Full-time
Horizon is seeking an open, enthusiastic Senior Embedded Software Engineer. Your role involves designing, developing and maintaining the embedded software that runs on our platform,…
Added 5 hours ago
HA
Senior Embedded DevOps and Software Verification Engineer
Horizon Aircraft
Kawartha Lakes, ON · Lindsay, ON
- Full-time
Horizon is seeking an open, enthusiastic Senior Embedded DevOps and Software Verification Engineer. Your role involves developing, maintaining and applying the engineering infrastructure…
Added 5 hours ago
BS
Technical Lead (Full-Stack Engineering & AI)
Brainhunter Systems Ltd
ON · Ontario, Canada
- Contract
We are looking for a hands-on Technical Lead and Senior Full-Stack Engineer who can build across the front end, back end, experience engine, and AI/ML layers and establish the engineering…
Added 6 hours ago
NR
Research Associate - Astrophotonic Instrumentation
National Research Council Canada / Conseil national de recherches Canada
Victoria, BC
- Full-time
We are seeking an instrumentation scientist or engineer who will play a lead role in the development of new astronomical instrumentation based on fiber optic and photonic chip technologies.…
Added 6 hours ago
TI
Senior HVAC Engineer
Trane Italia
Montreal, QC
- Full-time
…technology. You will assess and interpret existing mechanical systems, support the integration of our AI-driven control platform, and collaborate closely with software engineers and our…
Added 6 hours ago
TI
HVAC engineer
Trane Italia
Montreal, QC
- Full-time
…technology. You will assess and interpret existing mechanical systems, support the integration of our AI-driven control platform, and collaborate closely with software engineers and our…
Added 6 hours ago
TI
Digital Controls Technical Specialist
Trane Italia
Montreal, QC
- Full-time
…driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable…

Morningstar

Senior Software Engineer- Applied AI

Toronto, ON, Canada

Full-time

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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.

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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 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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