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Added 5 mins ago
WT
Senior AWS Cloud Engineer
Wissen Technology
Calgary, AB
- Full-time
A hands-on Senior AWS Cloud Engineer who has experience with building secure AWS Landing zones is required to join client's Cyber Security team. The role requires deep AWS expertise across…
Added 5 mins ago
H
Application Security Engineer
Hays
Toronto, ON
- Contract
We are seeking a Senior Application Security Engineer / Snyk Migration Lead to join a critical application security initiative.
Added 20 mins ago
SG
Senior IGA Engineer - SailPoint IdentityIQ (On-Prem)
S&P Global Mobility
London, ON
- Full-time
SailPoint certification (IdentityIQ Engineer/Architect) or equivalent demonstrated expertise.
Added 37 mins ago
IG
Agentic Solution Engineer
Insight Global
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Insight Global is looking for a Senior Agentic AI Solution Designer to design and deliver agentic AI workflows within its internal AI framework. This role will focus on how AI agents…
Added 52 mins ago
A
Senior Application Engineer - Service Cloud
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- Full-time
As a Senior Application Engineer, you will be instrumental in developing and maintaining features on the Salesforce Core Platform, enhancing the experience of our Guest Services teams and…
Added 1 hour ago
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Senior Systems Support Professional
Jolera
Remote, Canada
- Full-time
- Remote
The Senior Systems Support Professional is key to delivering best in class resolutions for our customers and their employees/members. The incumbent will demonstrate confident and…
Added 1 hour ago
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Data Lead
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $90,000 to $100,000 CAD / year
- Full-time
years of experience as a Data Engineer, with years in GCP.
Added 1 hour ago
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Intermediate Mechanical Engineer, Industrial HVAC & Building Systems
The JNE Group of Companies
Hamilton, ON
- Full-time
Experience performing engineering calculations and independently developing mechanical designs with oversight from a senior engineer.
Added 1 hour ago
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Tech Lead - ToolHound
Beacon Holdings
Remote, Canada
- Full-time
- Remote
Drive everything technical. Architecture, code quality, security, data modeling, performance, release engineering, and the migration path. You set the bar and you'll make the final…
Added 1 hour ago
SG
Senior Access Management Engineer
S&P Global Mobility
London, ON
- Full-time
Design and tune risk-based conditional access and authorization policies that balance security and usability.
Added 1 hour ago
SG
Senior Identity Integration Engineer
S&P Global Mobility
London, ON
- Full-time
Operate and harden directory services (Active Directory, Entra ID, LDAP) and federation infrastructure for reliability and security.
Added 1 hour ago
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Senior Systems Support Professional
Jolera
Canada
- Full-time
The Senior Systems Support Professional is key to delivering best in class resolutions for our customers and their employees/members. The incumbent will demonstrate confident and…
Added 1 hour ago
TH
Backend Engineer - 1 Year Contract
Teladoc Health Canada
Canada
- Contract
We’re looking for a Backend Software Engineer to join our growing engineering team and help build reliable, scalable backend systems that power our virtual care platform. In this role,…
Added 1 hour ago
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Senior Electrical Engineer
Vard Electro
Vancouver, BC
- Full-time
We are currently seeking a Senior Electrical Engineer to join our dynamic team. This is an excellent opportunity to work on high-profile, cutting-edge marine electrical projects in a…
Added 1 hour ago
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Senior Principal AI Engineer
RBC
Toronto, ON
- Full-time
We're looking for an experienced Senior Principal AI Engineer who will bring strategic leadership and deep subject-matter expertise in designing and implementing enterprise-scale AI/ML…
Added 2 hours ago
TH
Senior, DevOps Engineer - 1 Year Contract
Teladoc Health Canada
Canada
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…Infrastructure-as-Code (e.g. Terraform), deployment automation, security controls, and release…
Added 3 hours ago
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Tableau and Power BI SME
Apex Systems
Toronto, ON
- $63 to $68 USD / hour
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Apex Systems is seeking a Senior Product Owner (Product SME) to join a leading financial services organization in Toronto. Reporting to the Senior Manager, Analytics Platforms, this role…
Added 3 hours ago
Senior Developer
Scotiabank
Toronto, ON
We are looking for a Senior Software Developer (Java) to join our Loyalty Technology team and play a key role in designing, building, and evolving mission-critical banking solutions. This…
Added 3 hours ago
S
Software Engineer Co-op, Agents
Solink
Remote, Canada
- $55,000 to $68,000 CAD / year
- Full-time
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…the tools to know sooner and act faster by transforming video security into real-time operational…
Added 3 hours ago
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Senior Fire Protection Engineer
HDR
Toronto, ON
- Full-time
In the role of Senior Fire Protection Engineer, we'll count on you to:
Added 3 hours ago
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RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 3 hours ago
SF
Senior Software Engineer, AI Product Engineering
Safe Fleet
Coquitlam, BC
- Full-time
We are seeking a highly skilled, hands-on Senior Software Engineer to design, develop, and deliver AI-powered features and capabilities across our product portfolio.
Added 3 hours ago
SF
Senior Software Engineer, AI Product Engineering
Safe Fleet
Coquitlam, BC
- Full-time
We are seeking a highly skilled, hands-on Senior Software Engineer to design, develop, and deliver AI-powered features and capabilities across our product portfolio.
Added 3 hours ago
Full Stack Developer
Scotiabank
Toronto, ON
…experience. The team is searching for a client-focused full stack engineer who is motivated to contribute to the development of components of enterprise applications and providing hands-on…
Added 3 hours ago
IN
Senior Data Engineer
IKO North America
Mississauga, ON
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The Analytics team is seeking a passionate, inquisitive, detail-oriented, and customer-focused Senior Data Engineer to join our growing team. The successful candidate will be responsible…

Urban Ridge Supplies

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 24, 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.

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.

Job Id: tYmyj1OS8UNktp3djkRaELfsYt0hoy2ulqxWETfOxVjNTsdaeC7rYB+zeakbWtYVQqcqsk1ggpgGZergTq6Icwdp7uQzrqvawg==

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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. You will also design evaluation harnesses to ensure reliability and mentor engineers on applied AI practices.

Requirements

Candidates must have 5+ years of software engineering experience with production-level API and data pipeline design. Proficiency in Python, TypeScript, and cloud infrastructure (AWS) is required, along with hands-on experience integrating LLMs and RAG systems.

Skills

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

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
RAG
Agentic Workflows
Infrastructure-as-code
Containerization
Cloud Architecture
Telemetry
Governance
Prompt Engineering
System Design
Headless CMS
Evaluation Harness
Model Gateway
MCP
Structured Data
Version Control
Idempotency
Compliance
Auditability
Investment Research

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