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Added 10 mins ago
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Software Developer - ETL - Senior
Bevertec
Toronto, ON
- Contract
Experience with the Amazon Web Services (AWS) suite of technology including: Amazon Aurora, Amazon Relational Database Search, Glue, OpenSearch, etc.
Added 10 mins ago
L
Murex DevOps
Luxoft
Toronto, ON
- Full-time
Cloud platforms: AWS (preferred), Azure/GCP is a plus
Added 10 mins ago
ET
Jira Service Management Intake Automation Developer
Envision Technology Solutions
Brampton, ON
- Contract
We are seeking a Jira Service Management Intake Automation Developer to build scalable intake platforms that transform how teams submit, triage, prioritize, route, and track work across the…
Added 10 mins ago
Q
ML Architect
Quantiphi
Canada
- Full-time
…problems. You will work on optimizing and deploying these models on AWS infrastructure, ensuring scalability and…
Added 10 mins ago
QW
Senior AWS SageMaker / MLOps Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
Strong hands-on experience with AWS SageMaker (training, deployment, monitoring, and inference).
Added 10 mins ago
VS
Forward Deployed Engineer - Full Stack AI Solutions
VistaVu Solutions
Calgary, AB
- Full-time
…modes, latency, cost, and supportability. Own solutions on AWS from discovery and design through automated deployment, monitoring and alerts, usage and cost analytics, fast issue…
Added 12 mins ago
VC
Senior Developer
Valsoft Corporation
Remote, Canada
- $120,000 to $135,000 CAD / year
- Remote
…is seeking a driven and detail-oriented Intermediate Senior Developer to join its Professional Services Team, leading client engagements across TTG’s software…
Added 27 mins ago
Software Development Engineer , Device Privacy And Data Handling
Amazon
Toronto, ON
Leverage a wide range of AWS technologies to build full-stack web applications, distributed systems, and automation workflows
Added 27 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
…maintainable infrastructure across multiple cloud providers (AWS, GCP,…
Added 40 mins ago
GT
Software Developer - Client Server
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $70 to $85 CAD / hour
- Contract
Added 56 mins ago
FG
Senior Mobile Developer
Flynn Group of Companies
Mississauga, ON
- Full-time
Flynn Group of Companies, North America’s leading building envelope contractor, is looking for a Senior Mobile Developer to work from our Mississauga location reporting to Manager, Custom…
Added 56 mins ago
FG
QA Automation Tester
Flynn Group of Companies
Mississauga, ON
- Full-time
Our mobile and web app ecosystem hosted on Amazon AWS requires a multi-faceted approach to testing. We use a combination of BrowserStack and Appium for mobile (Android and iOS), Playwright…
Added 56 mins ago
RS
Principal Software Engineer- RMJ (AI Accelerated)
Redwood Software
ON
- $150,000 to $170,000 CAD / year
…pipelines (CI/CD, Kubernetes/Docker) in a cloud environment (AWS/Azure/GCP), leveraging AI tools for proactive anomaly detection and…
Added 1 hour ago
AI
Machine Learning Engineer- AWS SageMaker
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 1 hour ago
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Java Developer
Collabera
Mississauga, ON
- $75 to $80 USD / hour
- Full-time
We are looking for a Java Developer with experience in developing enterprise applications. The ideal candidate will have experience with Spring Boot, microservices, databases, Linux/Unix,…
Added 1 hour ago
IC
Java Application Developer
Infotek Consulting Inc.
Toronto, ON
- $80 to $88 CAD / hour
- Contract
We are looking for an experienced Senior Java Full Stack Developer to join a collaborative technology team supporting a variety of engineering projects and day-to-day application…
Added 1 hour ago
TI
Software Developer
TekStaff IT Solutions
Toronto, ON · Greater Toronto Area, Canada
- Contract
TekStaff's Client has a current vacancy for a Software Developer
Added 1 hour ago
QW
Senior AWS SageMaker / MLOps Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
AWS SageMaker (Model Development, Training, Deployment, Monitoring) AWS SageMaker Feature Store and Feature Engineering MLOps and Python Development
Added 1 hour ago
FG
Senior Mobile Developer
Flynn Group of Companies
Mississauga, ON
- $120,000 to $135,000 CAD / year
- Full-time
Flynn Group of Companies, North America’s leading building envelope contractor, is looking for a Senior Mobile Developer to work from our Mississauga location reporting to Manager, Custom…
Added 1 hour ago
FG
QA Automation Tester
Flynn Group of Companies
Mississauga, ON
- $72,000 to $82,000 CAD / year
- Full-time
Our mobile and web app ecosystem hosted on Amazon AWS requires a multi-faceted approach to testing. We use a combination of BrowserStack and Appium for mobile (Android and iOS), Playwright…
Added 1 hour ago
MP
Lead Data Engineer - Temporary Assignment up to 18 months
Municipal Property Assessment Corporation
Pickering, ON
- Temporary
Amazon Web Services (AWS) including Lambda, Glue, S3, Redshift and related cloud-native services
Added 1 hour ago
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Senior Python Developer
GlobalVariable
Toronto, ON
- Contract
Added 1 hour ago
QW
Software Engineer in Test
Quantum World Technologies Inc.
Toronto, ON
- Contract
Added 1 hour ago
O
Senior Backend Developer
Off2Class
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The Senior Back-End Developer is responsible for strengthening and extending the Off2Class software platform through reliable, scalable, and maintainable back-end development. This role…
Added 1 hour ago
JG
Senior Java Backend Developer
J2B Global LLC
Mississauga, ON
- Full-time
Looking for an experienced Java Developer to design and develop robust backend services for enterprise applications.

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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