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Added 13 mins ago
Enhanced Health Care Support Worker - Endoscopy
NHS Ayrshire & Arran
NS · Cape Breton, NS
Internship
Why this matters: Applications that rely on AI-generated content may be withdrawn. By applying, you confirm your responses are based on your own knowledge and achievements.
Added 13 mins ago
Senior Analyst, Technology Innovation (T & I) (Telework/Hybrid)
Radio-Canada
Montreal, QC
Full-time
At CBC/Radio-Canada, we create content that informs, entertains and connects Canadians on multiple platforms. Our successes and accomplishments are driven by embodying and upholding values,…
Added 57 mins ago
Creative Services Coordinator
National Bank of Canada
AB · Edmonton, AB
Full-time
Present work for review and guidance from the Art Director, other senior team members, and marketing & brand partners, applying feedback constructively and incorporating revisions to…
Added 57 mins ago
Senior banking advisor
National Bank of Canada
AB · Edmonton, AB
Full-time
A career as a Senior Banking Advisor at National Bank is a varied role that allows you to live your ambitions and have a positive impact on your own life as well as the lives of your…
Added 57 mins ago
Project Manager, Sales Enablement & Executive Customer Engagement
Husky Technologies
Bolton, ON
Full-time
…and lead the development of executive-facing sales enablement content and systems that support high-value customer engagements. This role ensures that Husky delivers clear, compelling, and…
Added 1 hour ago
Associate Director, Product Legal
Agoda
Vancouver, BC
Full-time
Ensure delivery and occasionally draft, review, and negotiate agreements relating to travel-related content, technology licensing and services, and commercial supplier arrangements.
Added 4 hours ago
GIS Specialist
Government of Alberta
AB
Develop and maintain digital content (SharePoint, Portal) that makes geospatial products, data, services, and guidance easy to find and use.
Added 6 hours ago
Project Manager, Sales Enablement & Executive Customer Engagement
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Added 6 hours ago
Senior Manager, Organic Growth
Mistplay
Toronto, ON
$120,000 to $165,000 CAD / year
Full-time
Mistplay is seeking a strategic and hands-on Senior Manager of Organic Growth to help build and scale the organic acquisition engine for our fast-growing rewarded gaming platform. This…
Added 7 hours ago
Director of Marketing - Zanchin Automotive Group
Zanchin Automotive Group
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Provide strategic counsel to Marketing Team and senior leadership on market trends and opportunities.
Added 7 hours ago
Senior Proposal Specialist
Zeidler Architecture
Calgary, AB
Full-time
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Added 7 hours ago
Senior Proposal Specialist
Zeidler Architecture
Toronto, ON
Full-time
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Added 8 hours ago
Product Designer
Loblaw Digital
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Added 8 hours ago
Unit Production Manager - Olympics/Paralympics, Partnership Content LA28 (Toronto) (English Services)
Radio-Canada
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Added 8 hours ago
Senior Guidewire & Digital Integration Developer
Cognizant
Toronto, ON
$88,000 to $117,000 CAD / year
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We are seeking a Senior Guidewire & Digital Integration Developer to join our Claims Digital Delivery team. This role will be focused primarily on supporting and enhancing customer-facing…
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Author small, well-defined audio-related tasks with a high focus on content pipelines
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Senior Manager, Leadership Giving
Art Gallery of Ontario
Toronto, ON
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Added 9 hours ago
Music Explorations & Band
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CCaaS Delivery Lead
Accenture
Toronto, ON · Ottawa, ON · Montreal, QC · Vancouver, BC · Calgary, AB
Full-time
…platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate…
Added 10 hours ago
Technical Associate (AI, Software & Digital Marketing)
Healthcord Cryogenics
Vancouver, BC
$22 to $30 CAD / hour
Contract
…software, digital marketing, and prototyping support directly to a senior…
Added 10 hours ago
Senior Analyst, Technology Innovation (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
Full-time
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Added 10 hours ago
C# Senior Developer - OTT Team (French Services) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
Full-time
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Added 10 hours ago
Javascript Senior Developer - OTT Team (French Services) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
Full-time
At CBC/Radio-Canada, we create content that informs, entertains and connects Canadians on multiple platforms. Our successes and accomplishments are driven by embodying and upholding values,…
Added 10 hours ago
Unit Production Manager - Olympics/Paralympics, Partnership Content LA28 (Toronto) (English Services)
CBC/Radio-Canada
Toronto, ON
Full-time
CBC Olympics has built a reputation for “best in class” content and sport production. We’ve identified the need for a temporary Senior Analyst position (working title Unit Production…
Added 11 hours ago
Senior Communications & Engagement Specalist
CIMA+
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Full-time
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Urban Ridge Supplies

Senior software engineer: Applied AI

Toronto, ON, Canada

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 24, 2026

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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

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.

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

Job Id: NNnZ5ZHpVUe1r6pTesCsblJq98BPi0l6ZVhhIhXJbmTz1JWhfqqZ3uPgVH1bauYTrbchethUp6599z/1bVJuTyswaAk762lrwA==

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More about this job

Responsibilities

Build and operate production AI systems, including LLM integrations, data pipelines, agentic workflows, evaluation frameworks, and API or MCP interfaces. Maintain governed data and content models, monitor system quality and reliability, and mentor engineers in applied AI practices.

Requirements

Requires at least five years of software engineering experience, production experience with APIs, data pipelines, and LLM integrations, and strong Python skills with working proficiency in TypeScript and Node.js. Candidates should have experience operating cloud services, designing evaluations, managing security and privacy risks, and communicating technical decisions clearly.

Skills

Python
TypeScript
Node.js
LLM Integration
Agentic Workflows
Evaluation Design
Data Pipeline Design
API Design
GraphQL
REST
AWS
Infrastructure as Code
MCP
RAG
Structured Content Modeling
Security and Privacy

Visa sponsorship

Not detected in the job text

Keywords

Applied AI
Large Language Models
LLM Gateway
Open-Weight Models
Python
TypeScript
Node.js
FastAPI
MCP
RAG
Agentic Workflows
Tool Calling
Structured Outputs
Evaluation Harness
Golden Questions
AWS
Amazon Bedrock
Azure AI
LiteLLM
REST APIs
GraphQL
Data Pipelines
Infrastructure as Code
Containerized Workloads
Headless CMS
Data Governance
Provenance
Prompt Injection
Token-Cost Management
Human Review

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