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Added 10 mins ago
L
Murex DevOps
Luxoft
Toronto, ON
- Full-time
As a DevOps Engineer, you will be responsible for designing, building, and operating automated platforms that enable reliable, secure, and scalable delivery of the MX platform across SaaS,…
Added 26 mins ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Calgary, AB · Ottawa, Ontario
- $85,000 to $110,000 CAD / year
- Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 26 mins ago
Application & Infrastructure Analyst III /Team Lead - Mission Critical Development
City of Edmonton
AB
…non-technical stakeholders. Relevant certifications such as Azure Developer Associate, DevOps Engineer Expert, Azure Fundamentals, Power Platform Fundamentals, ITIL, Certified ScrumMaster,…
Added 1 hour ago
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Data Specialist
McKesson
Mississauga, ON
- Full-time
Partner with Forward Deployed Engineer, business stakeholders, product teams, and analytics teams to translate business requirements into scalable data solutions.
Added 2 hours ago
AS
Cloud DevOps Engineer – Health
Alquemy Search & Consulting
Vancouver, BC
- Full-time
We are seeking a Cloud DevOps Engineer to join the Health Team. This role will focus on provisioning and maintaining Azure infrastructure, supporting Kubernetes-based applications, and…
Added 2 hours ago
O
Sr. Engineer System administrator
OnX
Toronto, ON
- Full-time
…partner with clients across industries to deliver innovative infrastructure, cloud, security, and managed services solutions that drive business…
Added 3 hours ago
AI
Software Architect
Arkion Identity Systems
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…collaborate with development engineers, the cloud & deployment engineer, and external partners to drive architectural decisions and ensure a robust, scalable, and secure product. You will…
Added 3 hours ago
RD
Senior Network Engineer
Randstad Digital
NB · New Brunswick, Canada
- $85,000 to $105,000 CAD / year
- Full-time
We are seeking a Senior Network Engineer to bridge traditional on-premises networking and modern Azure cloud infrastructure. In this role, you will lead high-impact technical initiatives -…
Added 3 hours ago
Senior Software Engineer, OIG
Okta
Toronto, ON
Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and modern observability tooling
Added 3 hours ago
Senior Software Engineer – DevTest / QA Automation
Kaseya Careers
Toronto, ON
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 3 hours ago
I
Senior System Administrator
ICES
Toronto, ON
- Contract
Provide technical support to on-prem and Azure-hosted IT infrastructure and systems by utilizing advanced troubleshooting skills and industry knowledge to resolve issues and ensure optimal…
Added 3 hours ago
O
Senior Software Engineer, OIG
Okta
Toronto, ON
- $136,000 to $187,000 CAD / year
- Full-time
Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and modern observability tooling
Added 3 hours ago
MF
Cloud Platform Engineer
MTY Food Group
Montreal, QC
- Full-time
We are seeking a skilled and proactive Cloud Platform Engineer to manage, monitor, and optimize our Amazon Web Services (AWS) and Google Cloud Platform (GCP) environments. This role will be…
Added 3 hours ago
KR
Firewall Consultant
KTek Resourcing
Calgary, AB
- Contract
…administration, troubleshooting, and optimization of enterprise network security infrastructure, primarily focusing on Cisco Firepower/ASA and Palo Alto Networks firewalls. The role…
Added 3 hours ago
IC
Senior System Administrator
ICES Central
Toronto, ON
- Full-time
- Temporary
Provide technical support to on-prem and Azure-hosted IT infrastructure and systems by utilizing advanced troubleshooting skills and industry knowledge to resolve issues and ensure optimal…
Added 4 hours ago
FI
Cyber Security Architect -Healthcare
Flexstaf I.T. Inc.
Canada
- Contract
At least one certification: Azure Security Engineer Associate, Azure Solutions Architect Expert, CISSP, or CISM.
Added 8 hours ago
YR
Enterprise Cloud Architect (Enterprise Architect)
York Region (The Regional Municipality of York)
Newmarket, ON
- Full-time
TOGAF Certification, and past IT certification similar or equivalent to the following: Microsoft Certified Azure Solutions Architect Expert or equivalent cloud certification, Cloud security…
Added 9 hours ago
SH
Applied AI Software Engineer
SE Health
Markham, ON
- Full-time
The Applied AI Software Engineer is a hands-on technical role responsible for designing, building, testing, deploying, and supporting secure, reliable artificial intelligence solutions…
Added 13 hours 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 13 hours 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 13 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 14 hours ago
MT
Senior Azure engineer
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
- Full-time
A strong focus on collaboration and continuous improvement is key. The Senior Azure Engineer will work with colleagues across engineering, security, and service teams to implement best…
Added 14 hours ago
MT
Senior Infrastructure Engineer (Linux & Cloud Automation)
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
- Full-time
Job Details: Senior Infrastructure Engineer (Linux & Cloud Automation)
Added 15 hours ago
C
Cybersecurity Architect
CGI
Mississauga, ON
- Full-time
…resilient technology solutions that align with organizational security standards, enterprise architecture principles, regulatory requirements, and business objectives.The role provides…
Added 16 hours ago
R&
Site Reliability Specialist
Robertson & Company Ltd.
Toronto, ON
- Contract
Design, build, deploy, and support enterprise Azure cloud infrastructure environments in both Windows and Linux

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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