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Added 2 months ago
IF
AI Developer Senior
Intact FC
Toronto, ON · Montreal, QC
- Full-time
We’re looking for a Senior AI Developer to join our growing team!
Added 2 months ago
R
Account Executive
RevStar
Remote, Canada
- Full-time
- Remote
Professional Growth Opportunities – Exposure to cutting-edge AWS GenAI, data, and cloud technologies across diverse industries.
Added 2 months ago
W
Senior Software Developer, LLM Infrastructure
Wealthsimple
Canada
- Full-time
The Machine Learning Infrastructure team builds the core foundation powering AI and GenAI initiatives across Wealthsimple. As our AI footprint expands, our priority is building scalable,…
Added 2 months ago
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Développeur(euse) web front-end senior / Senior Front-End Web Developer
Genetec
Brossard, QC
- Full-time
Added 2 months ago
M(
Applied AI Engineer
MaintainX (An Autodesk Company)
Remote, Canada
- $153,000 to $224,000 CAD / year
- Full-time
- Remote
Strong applied GenAI craft - prompt engineering, structured output / tool-use, RAG and retrieval-context patterns
Added 2 months ago
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Développeur(euse) web front-end senior / Senior Front-End Web Developer
Genetec
Montreal, QC
- Full-time
Added 2 months ago
WT
Senior Software Developer, LLM Infrastructure
Wealthsimple Technologies
Remote, Canada
- $152,900 to $189,000 CAD / year
- Full-time
- Remote
The Machine Learning Infrastructure team builds the core foundation powering AI and GenAI initiatives across Wealthsimple. As our AI footprint expands, our priority is building scalable,…
Added 2 months ago
Manager, AI & Data Consulting
Welcome to the Jungle
Montreal, QC
Working knowledge of at least one AI platform ecosystem - Google (Gemini), Anthropic (Claude), or OpenAI - and of core GenAI concepts (RAG, agents, context engineering).
Added 2 months ago
JG
Senior Appian Developer with AI
J&M Group
Toronto, ON
- Full-time
Designs and integrates AI/GenAI solutions (IDP, NLP, chatbots, decisioning) to enable intelligent automation.
Added 2 months ago
HT
Lead AI Test Automation Architect
High Tech Genesis
Canada
- Contract
Strong experience with LLMs, GenAI, Prompt Engineering, RAG, and Vector Databases
Added 2 months ago
EB
Staff Engineer (AI & Engineering)
EQ Bank
Toronto, ON
- Full-time
Added 2 months ago
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Manager, Technology Systems and Operations (Creative)
Netflix
Vancouver, BC
- Full-time
Ensure seamless integration of Netflix-owned and third-party Games and VFX tools, including emerging GenAI/GenMedia solutions, supporting efficiency, innovation, and secure, scalable…
Added 2 months ago
CI
Director, Data Engineering
Colliers International
Toronto, ON
- Full-time
…and data fabric capabilities, AI/ML pipelines, Agentic AI and GenAI workflows, document extraction services, and business intelligence…
Added 1 month ago
Staff Machine Learning Engineer, Generative AI (Auth0)
Okta
Toronto, ON
Have you ever considered what powers the intelligent features behind seamless product experiences? The GenAI team is at the forefront of enabling AI-powered security and intelligent…
Added 2 months ago
IS
Data Science ML/GenAI Engineer (FRE/ ENG)
Irth Solutions
Remote, Canada
- Full-time
- Remote
Data Science ML/GenAI Engineer (Intermédiaire)À propos d’Irth Solutions
Added 2 months ago
Director of Engineering, Operations Planning
HelloFresh
Toronto, ON
Own the GenAI transformation - define and drive a concrete roadmap for becoming a genuinely AI-native engineering organisation: from AI-assisted development and automated incident response,…
Added 2 months ago
Director, AI & Data Science (Marketing Measurement & Effectiveness)
Welcome to the Jungle
Montreal, QC
Build and deploy GenAI and agentic applications into production that change how measurement gets done and consumed: automated model diagnostics, insight generation, analyst copilots,…
Added 2 months ago
CI
AI Enginering Technical Lead (Permanent)
CoreFactor Inc.
Toronto, ON
- Full-time
Lead the integration design efforts for GenAI solutions for contact center.
Added 2 months ago
N
Story Artist- Ink
Netflix
Vancouver, BC
- Full-time
…developing animated shorts and specials using experimental GenAI-native production pipelines. You will be a crucial partner in visual storytelling, responsible for creating high-quality…
Added 2 months ago
JG
Oracle AI Architect
J&M Group
Toronto, ON
- Full-time
Oracle AI Architect - Enterprise Architecture, AI/ML or Generative AI solutioning. Oracle Cloud Infrastructure (OCI) services, including OCI GenAI Service, Functions, and AI Data Platforms.
Added 2 months ago
MS
Data Scientist (NLP Specialist) – Legal and Compliance (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
Create GenAI-based solutions to automate manual tasks and drive cost efficiency.
Added 2 months ago
Senior Python Developer
Ampliwork
Montreal, QC
We are looking for a Senior Python Developer with strong core software engineering fundamentals and hands-on experience building production-grade, cloud-native systems.
Added 2 months ago
TR
Applied Research Intern (NLP/ML/GenAI)
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Added 2 months ago
Senior Manager AI Solutions Architecture
Diligent Corporation
Vancouver, BC
…function, a small, high-impact team that is embedding AI and GenAI into the systems thousands of colleagues use every day across Marketing, Sales, Customer Success, Finance, HR, Legal, and…
Added 2 months ago
TA
Lead AI Engineer
Tiger Analytics
Canada
- Full-time
AI/ML: GenAI, LLMs, Agentic AI, Multi-Agent Systems, RAG, Prompt Engineering, AI Guardrails, MLOps.

Wealthsimple

Senior Software Developer, LLM Infrastructure

Canada

Compensation Range: CA$152.9K - CA$189K · Full-time

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Job details

Pay: Compensation Range: CA$152.9K - CA$189K
Job type: Full-time
Experience: 6+ years of software engineering experience building production-ready distributed systems or data platform infrastructure.
Posting language: English
Posted: Aug 5, 2026

Original job description

Build something people love

Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.

We're proud of what we've built - and we're just getting started. Read our Culture Manual and learn more about how we work.

Machine Learning Infrastructure Team

The Machine Learning Infrastructure team builds the core foundation powering AI and GenAI initiatives across Wealthsimple. As our AI footprint expands, our priority is building scalable, cost-effective infrastructure that enables high-performance inference using open-source models alongside vendor solutions. Our responsibilities are to:

Build and maintain infrastructure to host and serve open-source LLMs reliably on cloud/GPU systems.
Implement intelligent model-routing frameworks to optimize performance, cost, and latency.
Develop evaluation and benchmarking tooling (Evals) to test, validate, and compare model performance across use cases.
Set the technical direction for operating scalable LLM infrastructure company-wide.

The Role

As a Senior Software Engineer on the ML Infrastructure team, you will design and implement the core backend and infrastructure powering our AI systems. You will work closely with data scientists, platform engineers, and engineering leaders to scale our GenAI footprint efficiently and securely.

In this role, you will have the opportunity to:

Build model-routing architecture (e.g., LiteLLM integration) to dynamically direct requests across internal and external models.
Provision and manage high-performance GPU infrastructure for serving open-source LLMs.
Build evaluation frameworks (Evals) that enable engineers and data scientists to benchmark model quality against production requirements.
Drive key cost-optimization and infrastructure efficiency initiatives without sacrificing system accuracy or reliability.

We are looking for people who have:

6+ years of software engineering experience building production-ready distributed systems or data platform infrastructure.
Strong proficiency in Python and infrastructure tooling like Kubernetes and Terraform.
Proven experience designing and operating highly performant, observable backend systems.
Practical experience or deep familiarity with the modern AI ecosystem (e.g., serving open-source models, vLLM, Ray, model routing, or evaluation frameworks).
Track record of owning technical projects end-to-end with high autonomy.

Our stack includes:

Container & Infra: Kubernetes, Terraform, AWS GPU infrastructure
Languages & APIs: Python, FastAPI
LLM Tooling & Serving: LiteLLM, vLLM, Ray, Bedrock
Data & Streaming: Kafka, Postgres, Redshift, Snowflake

Why Wealthsimple?

🌸 Top-tier health benefits and life insurance

📈 Long-term group savings with employer match, through Wealthsimple for Business

🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year

✈️ 90 days away: work outside Canada for up to 90 days per year

👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS

🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.

ICYMI

Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work - whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.

Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.

Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know - we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.

AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Compensation Range: CA$152.9K - CA$189K

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More about this job

Responsibilities

Design and implement the core backend and infrastructure to host and serve open-source LLMs reliably on cloud and GPU systems. Develop model-routing frameworks and evaluation tooling to optimize performance, cost, and latency for GenAI initiatives.

Requirements

Requires 6+ years of software engineering experience building production-ready distributed systems or data platform infrastructure. Proficiency in Python, Kubernetes, and Terraform is required, along with familiarity with the modern AI ecosystem and LLM serving tools.

Skills

Python
Kubernetes
Terraform
Distributed Systems
vLLM
Ray
LiteLLM
FastAPI
AWS GPU Infrastructure
Model Routing
Evaluation Frameworks
Backend Engineering
Kafka
Postgres
Redshift
Snowflake

Benefits

Health Benefits
Life Insurance
Group Savings With Employer Match
20 Vacation Days
4 Wellness Days
Unlimited Sick And Mental Health Days
Work Outside Canada For Up To 90 Days Per Year
Employee Resource Groups

Visa sponsorship

Not detected in the job text

Keywords

LLM Infrastructure
GenAI
Machine Learning
Open-Source Models
GPU Infrastructure
vLLM
Ray
LiteLLM
Bedrock
Kubernetes
Terraform
AWS
Python
FastAPI
Kafka
Postgres
Redshift
Snowflake
Distributed Systems
Model Routing
Evals
Benchmarking
Financial Services
Backend Systems
Cloud Computing
Inference Optimization

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