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Gestionnaire de projet - Préparation opérationnelle (ORP) / Operational Readiness Project Manager
Systemex
Montreal, QC
- Full-time
Systemex Automation (SA) – Delivering innovative automation, robotics, control systems, digital manufacturing, and warehouse automation solutions with 24/7 customer support.
Added 13 mins ago
KG
Transmission Line Engineer
Kosmos Group
Burnaby, BC
- Full-time
Kosmos Group is an engineering consulting firm specializing in electrical power generation, transmission, substations, and distribution. We support public and private utilities,…
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Principal Process Automation & Controls Engineer
Worley
Calgary, AB
- Full-time
…across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and…
Added 13 mins ago
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Assembly Technician (Contract)
Husky Technologies
Bolton, ON
- Full-time
…complete machines, Mechanical , hydraulic and /or Electrical systems, and related equipment, while maintaining established quality and workmanship…
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Data Scientist
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- Contract
· Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs
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Expression of Interest for Engineering Graduate - University of Calgary
Worley
Vancouver, BC
- Full-time
…across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and…
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Production Supervisor - Afternoon Shift
ASSA ABLOY Opening Solutions Americas
Woodbridge, ON
- Full-time
Post-secondary education in Manufacturing Engineering or a related field
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Electrical Apprentice Level 1
Spark Power ⚡
Cambridge, ON
- Full-time
Deciding on best routing options for conduit, wires, and other systems
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SP
Apprentice Electrician 309 Level 3,4, and 5
Spark Power ⚡
Cambridge, ON
- Full-time
Deciding on best routing options for conduit, wires, and other systems
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Electrical Engineer/Designer
Grantek
Burlington, ON
- Full-time
…strong background in electrical design and industrial control systems. In this role, you will take ownership of diverse and technically challenging design assignments, including the design,…
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Business Systems Developer
Grantek
Burlington, ON
- Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
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CO
Senior GIS Analyst
City of North Vancouver
North Vancouver, BC
- Full-time
…Computer Science, Information Technology, Geographic Information Systems, Engineering, or a related field, along with considerable related experience; or an equivalent combination of…
Added 16 mins ago
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Acoustic Engineer (Canada)
Ehvert Engineering a Salas O'Brien company
Remote, Canada
- Full-time
- Remote
The Acoustic Engineer will provide acoustical engineering expertise throughout the design and delivery of complex mission-critical projects. This role will focus on assessing and addressing…
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Senior Structural Engineer
EXP
Barrie, ON
- Full-time
Lead and manage the design and analysis of structural systems including, but not limited to, buildings, miscellaneous structures, equipment foundations, bridges, culverts, retaining walls,…
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Senior Structural Engineer
EXP
Sudbury, ON
- Full-time
Lead and manage the design and analysis of structural systems including, but not limited to, buildings, miscellaneous structures, equipment foundations, bridges, culverts, retaining walls,…
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Senior Structural Engineer
EXP
Temiskaming Shores, ON · New Liskeard, ON
- Full-time
Lead and manage the design and analysis of structural systems including, but not limited to, buildings, miscellaneous structures, equipment foundations, bridges, culverts, retaining walls,…
Added 16 mins ago
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Senior Electrical Designer
S&C Electric Company
Toronto, ON · Etobicoke, ON
- Full-time
Generate comprehensive bill of materials (BOMs) for electrical components and process Engineering Change Orders (ECOs) within 3DEXPERIENCE (3Dx).
Added 16 mins ago
Project Controls Specialist
BWXT
Peterborough, ON
…around the world. We are the original designer of the automated systems that allow 24/7 on power refueling of CANDU reactors and aim to solve some of the Nuclear Industry’s most challenging…
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Project Coordinator
BWXT
Peterborough, ON
…around the world. We are the original designer of the automated systems that allow 24/7 on power refueling of CANDU reactors and aim to solve some of the Nuclear Industry’s most challenging…
Added 16 mins ago
Senior Project Manager
BWXT
Peterborough, ON
…around the world. We are the original designer of the automated systems that allow 24/7 on power refueling of CANDU reactors and aim to solve some of the Nuclear Industry’s most challenging…
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Specialist, Food Safety & Commercialization - M&M Food Market
M&M Food Market Ltd/Les Aliments M&M Lte
Mississauga, ON
- Full-time
Review and approve supplier food safety programs, HACCP plans, and quality systems.
Added 16 mins ago
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Controls Designer
BOS Innovations
London, ON
- Full-time
…energy to advanced industries -providing intelligent automation systems built on precision, reliability, and…
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Maintenance Shift Lead
EPCOR
Regina, SK
- Full-time
…and maintenance professionals while helping ensure equipment, systems, and processes perform at their…
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Senior Superintendent
Aecon
Toronto, ON · Scarborough, ON
…deliver the Scarborough Subway Extension – Stations, Rails and Systems (SSE-SRS) package. The Scarborough Subway Extension will bring the TTC’s Line 2 subway service nearly eight kilometers…
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RQ11713 - Software Developer - ETL - Senior
Maarut
Toronto, ON
- Contract
Required to translate technical systems specifications into

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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