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Added 4 mins ago
HL
Senior SWE - Python / TypeScript
Hyper Lychee Labs
Canada
- Contract
We're looking for a high-taste engineer with a strong eye for quality, someone who's worked hands-on with preference data and rubric creation, and knows what separates a good example from a…
Added 4 mins ago
EC
Product and Application Engineer Opportunity (Facade Focused)
EJOT Construction Fastening Systems Inc. Canada
Toronto, ON
- Full-time
Currently, we are looking for a Product and Application Engineer (Facade Focused) to be part of EJOT Canada’s technical team. He/She will be based locally in Ontario and will support…
Added 1 hour ago
Senior Engineer
Environment and Climate Change
Winnipeg, MB
The Senior Engineer will provide specialized engineering services encompassing Manitoba’s environmental liabilities relating to Orphaned and Abandoned Mines and Contaminated Sites. The…
Added 2 hours ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
Regularly provide feedback to product development teams: present project updates at service issue review meetings, attend design reviews to identify risks, submit continuous improvement…
Added 2 hours ago
HT
Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by –…
Added 2 hours ago
Lead Software Engineer
Capgemini
Mississauga, ON
2. He or she is responsible for the development and application of software engineering practice and knowledge in research design development and maintenance.
Added 2 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 2 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 3 hours ago
MV
Engineer-In-Training
Metro Vancouver
Burnaby, BC
- From $77,171.26 CAD / year
- Full-time
- On-site
Engineer-In-Training(Multiple Positions)Position Status: Full-Time RegularDepartment: Human Resources - EIT ProgramEmployee Group: ExemptLocation: 4515 Central BoulevardSalary Range/ Wage…
Added 3 hours ago
WG
RESEARCH SCIENTIST
Whisk Group
Calgary, AB
- Full-time
Whisk Labs is seeking a highly skilled Research + Extraction Engineer to join our dynamic team. We are looking for someone with a passion for innovation and a drive to push the boundaries…
Added 4 hours ago
S
Product Development Engineer
Septodont
Bromont, QC
- Full-time
We are seeking a highly motivated and technically strong Product Development Engineer to join our multidisciplinary team in the medical device industry.
Added 4 hours ago
S
Process Specialist II /Engineer II
Septodont
Cambridge, ON
- Full-time
At Septodont, a global leader in dental products and a key player in pharmaceutical development and contract manufacturing (CDMO), we are proud to work every day to improve patients’ health…
Added 4 hours ago
OC
Lead Engineer, Programs/Projects (Wastewater)
Ontario Clean Water Agency
Mississauga, ON · OCWA - Corporate Office
- Full-time
Mentor engineers at all levels and create opportunities for growth and development.
Added 5 hours ago
L
Forward Deployed Engineer
Leyton
Vancouver, BC · Greater Vancouver, BC
- €30,000 to €50,000 EUR / year
- Full-time
As a Forward Deployed Engineer, you will work directly with business teams across different countries to identify opportunities, design solutions, build prototypes, and deliver AI-powered…
Added 5 hours ago
TU
Research Engineer - Instrumentation
The University of British Columbia
Vancouver, BC
- $6,631.67 to $9,533.25 CAD / month
- Full-time
Provide guidance to graduate research students in the development, fabrication, operation, and maintenance of lab equipment.
Added 5 hours ago
CB
Civil Utility - Heavy Equipment Operator
CapWest Build
Vancouver, BC
- Full-time
…will play a key role in excavation work on any of our large development projects in either Tsawassen, South Cambie, or Pitt Meadows. If you thrive in fast-paced construction environments,…
Added 5 hours ago
CB
Coordinator, Capilano Energy
CapWest Build
Vancouver, BC
- Full-time
Support the creation of applications, proposals and responses to regulatory bodies.
Added 6 hours ago
TM
Sales Engineer
Technical Management Group Ltd. (TMG)
Toronto, ON
- Full-time
This role will appeal to a collaborative individual with a broad interest in and exposure to project planning, proposal development, and business development across the mining, energy, and…
Added 7 hours ago
NR
Research Associate - Astrophotonic Instrumentation
National Research Council Canada / Conseil national de recherches Canada
Victoria, BC
- Full-time
We are seeking an instrumentation scientist or engineer who will play a lead role in the development of new astronomical instrumentation based on fiber optic and photonic chip technologies.…
Added 7 hours ago
TI
Senior HVAC Engineer
Trane Italia
Montreal, QC
- Full-time
…energy by combining artificial intelligence, cloud computing, and HVAC expertise to create truly autonomous buildings. We’re looking for a Mechanical Engineer who brings deep knowledge of…
Added 7 hours ago
TI
Sales Development Representative
Trane Italia
Montreal, QC
- Full-time
…technology focused on reducing demand-side energy consumption and emissions. Our team - including BrainBox AI, Nuvolo, and more - combines technical expertise with advanced analytics to…
Added 7 hours ago
TI
HVAC engineer
Trane Italia
Montreal, QC
- Full-time
…energy by combining artificial intelligence, cloud computing, and HVAC expertise to create truly autonomous buildings. We’re looking for a Mechanical Engineer who brings deep knowledge of…
Added 7 hours ago
SA
Co-Op Engineer
Standard Aero
Richmond, BC
- Full-time
· Tooling design, development, and integration.
Added 8 hours ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
Regularly provide feedback to product development teams: present project updates at service issue review meetings, attend design reviews to identify risks, submit continuous improvement…
Added 8 hours ago
HT
Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by –…

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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