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Added 56 mins ago
AW
Artificial Intelligence Specialist
Agilus Work Solutions
Toronto, ON
- Contract
The ideal candidate will bring strong Python development, practical LLM/GenAI experience, and experience working with AI agents, APIs, integrations, retrieval, and evaluation. Hands-on…
Added 56 mins ago
MC
AI Platform Engineer (35577)
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Toronto, ON
- Contract
Build and operationalize AI, GenAI, and Agentic AI solutions.
Added 58 mins ago
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Senior Platform Engineer, AI & Fabrics
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Toronto, ON
- Part-time
…hardening and scaling real engineering assets; an existing developer portal, an AI registry, a body of policy-as-code, and gateway integrations into enterprise-grade…
Added 1 hour ago
QC
Quality Assurance Engineer
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Toronto, ON · Greater Toronto Area, Canada
- Full-time
Experience with automation technologies such as Selenium, Cypress, Playwright, Rest Assured, Java, Python, or equivalent frameworks.
Added 3 hours ago
RB
2027 Winter – GRM, AI Developer Intern - Innovation & AI Center of Excellence (4 Months)
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Added 3 hours ago
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Added 4 hours ago
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Added 5 hours ago
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- Full-time
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Added 6 hours ago
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Security Research Engineer – AI & Emerging Cybersecurity / Toronto, ON (Hybrid) FTE
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Toronto, ON
- Full-time
We are seeking a Security Research Engineer with strong hands-on expertise in cybersecurity research, software engineering, AI/GenAI security, Agentic AI, and emerging security technologies.
Added 7 hours ago
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GenAI Software Developer
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Calgary, AB · GCS
- Full-time
…Generative AI. We're looking for a passionate and innovative GenAI Software Developer to join our growing team and help design, build, and scale intelligent AI-powered solutions that…
Added 16 hours ago
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Intermediate Software Engineer
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- $90,000 to $110,000 CAD / year
- Full-time
Strong fundamentals in testing, Git, and at least one of Python, TypeScript, or C#.
Added 1 day ago
A
Intermediate Software Engineer
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Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Strong fundamentals in testing, Git, and at least one of Python, TypeScript, or C#.
Added 2 days ago
A
Intermediate Software Engineer
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Toronto, ON
- $90,000 to $110,000 CAD / year
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Strong fundamentals in testing, Git, and at least one of Python, TypeScript, or C#.
Added 2 days ago
Analyst, Artificial Intelligence
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Ottawa, ON · Toronto, ON · Montreal, QC · Quebec, QC
Working knowledge of programming and scripting languages such as Python, JavaScript, Java, PowerShell, and SQL.
Added 3 days ago
AI
Automation Developer
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Toronto, ON
- Contract
…essential for configuring and automating workflows. Strong Java and Python development skills are required for building applications and integrations. Experience with REST APIs and webhooks…
Added 3 days ago
H
Software Engineering Intern (Winter 2027)
Harvey
Remote, Canada
- $45 to $55 CAD / hour
- Internship
- Remote
…motivated, and excited to learn how modern application-layer and GenAI products are built. You’ll gain hands-on experience across the stack, contribute to real features, and see how your…
Added 3 days ago
WT
Senior Software Developer, ML Platform & Infrastructure
Wealthsimple Technologies
Toronto, ON
- $152,000 to $189,000 CAD / year
- Full-time
The Machine Learning Infrastructure & Platform team builds the foundational architecture powering AI and GenAI initiatives across Wealthsimple. We sit at the intersection of production…
Added 3 days ago
AS
Full Stack Developer - Python and React
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- $77.93 USD / hour
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Added 3 days ago
E
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
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…Most of the code you write will be AWS CDK (TypeScript and/or Python) that creates the infrastructure for other teams to build…
Added 3 days ago
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…production? If so| youve come to the right place.We are looking for a Developer obsessed with efficiency and automation to be part of an autonomous team to deliver services for application…
Added 4 days ago
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Python Developer
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Added 4 days ago
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Développeur(-euse) Full Stack (Python, React)
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Montreal, QC
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Added 4 days ago
IC
HR Data Scientist, Data Eng.
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Toronto, ON · Greater Toronto Area, Canada
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Expert-level proficiency in Oracle SQL, Python, experience with building on LLMs for advanced analytics, including data extraction, transformation, statistical modelling, and automation.
Added 4 days ago
AI COE - Senior Data Scientist
EY
Toronto, ON
Technical Proficiency: Proficient with Python and deep learning frameworks (PyTorch and/or TensorFlow); expertise in data wrangling, feature engineering, and ML pipeline automation.

Wealthsimple Technologies

Senior Software Developer, ML Platform & Infrastructure

Toronto, ON, Canada

$152,000 to $189,000 CAD / year · Full-time

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Job details

Pay: $152,000 to $189,000 CAD / year
Job type: Full-time
Experience: 7+ years of software engineering experience in ML Infrastructure, MLOps, ML Tooling, or Data Platform engineering.
Posting language: English
Posted: Oct 2, 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.

ML Platform & Infrastructure Team

The Machine Learning Infrastructure & Platform team builds the foundational architecture powering AI and GenAI initiatives across Wealthsimple. We sit at the intersection of production MLOps and cutting-edge GenAI enablement.

As our AI footprint expands rapidly, our priority is evolving our robust MLOps foundations into a scalable, high-performance LLM serving and routing platform. We build self-serve systems that allow Data Scientists and Engineers to host open-source LLMs reliably, optimize inference latencies, manage GPU infrastructure, and benchmark model performance safely in production.

The Role

We are looking for an experienced MLOps or ML Platform Engineer who is excited to pivot their deep background in model orchestration, serving, and platform tooling toward solving the unique challenges of LLM inference and infrastructure.

In this role, you will bridge the gap between traditional MLOps (model lifecycles, pipeline orchestration, serving infrastructure) and modern GenAI stack requirements (vLLM, GPU cluster management, intelligent model routing, and automated Evals). You will take end-to-end ownership of setting the technical direction for operating enterprise-grade LLM systems company-wide.

In this role, you will have the opportunity to:

Turn MLOps expertise to GenAI: Transition traditional ML lifecycle and serving patterns into state-of-the-art LLM inference engines and GPU orchestration systems.
Build model-routing architecture: Design low-latency routing frameworks (e.g., LiteLLM integration) to dynamically direct requests across managed cloud providers (AWS Bedrock) and self-hosted open-source models.
Provision & scale GPU infrastructure: Architect and manage high-performance GPU serving environments on Kubernetes using engines like vLLM, Ray, and Triton.
Develop evaluation & benchmarking tooling: Build automated Evals and observability frameworks to empower engineers and data scientists to validate model quality, latency, and drift against production requirements.
Empower self-serve ML across Wealthsimple: Partner with product engineering and data science teams to build framework-agnostic platform tooling that abstracts infrastructure complexity.
Drive cost & performance optimization: Improve price-performance across self-hosted and managed inference by optimizing capacity, utilization, batching, routing, and model selection while meeting quality and reliability objectives

We are looking for people who have:

7+ years of software engineering experience in ML Infrastructure, MLOps, ML Tooling, or Data Platform engineering.
Deep experience in MLOps/ML Platform practices: Proven track record building and operating self-serve ML platforms, model registry workflows, experiment tracking, or production serving infrastructure (Kubeflow, MLflow, Ray, Triton, SageMaker).
Strong platform fundamentals: Advanced proficiency in Python, container orchestration via Kubernetes, infrastructure-as-code (Terraform), and cloud provider ecosystem (AWS).
Strong appetite to specialize in LLM serving: A genuine desire to leverage your existing MLOps skillset to tackle LLM-specific challenges (vLLM, model routing, prompt engineering tooling, vector databases, GPU memory optimization, or LLM evaluation frameworks).
Backend performance & observability focus: Experience designing highly available, observable microservices (e.g., FastAPI) handling real-time, low-latency requests.
End-to-end technical ownership: Proven capability to lead architectural roadmaps, guide multi-functional projects with high autonomy, and maintain complex platform systems for the long run.

Nice-to-haves (or areas you will learn on the job):

Direct experience serving open-source Large Language Models in production (vLLM, SGLang, TensorRT-LLM, Dynamo).
Hands-on work with CUDA, GPU partitioning, or distributed inference frameworks (Ray Serve).
Familiarity with vector search and retrieval engines (Elasticsearch, Qdrant, Pinecone).

Our Stack Includes:

Container & Infrastructure: Kubernetes, Terraform, AWS GPU Infrastructure
ML Serving & LLM Tooling: vLLM, Ray, Triton, LiteLLM, AWS Bedrock, MLflow, SageMaker
Languages & Frameworks: Python, FastAPI, PyTorch
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.

*Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles.

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.

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More about this job

Responsibilities

You will build and scale foundational architecture for AI and GenAI initiatives, focusing on LLM inference engines and GPU orchestration. Additionally, you will develop self-serve platform tooling to empower data scientists and engineers to benchmark and deploy models reliably.

Requirements

The role requires 7+ years of software engineering experience in ML infrastructure, MLOps, or data platform engineering. Candidates must possess strong proficiency in Python, Kubernetes, and cloud infrastructure, along with a deep interest in LLM serving and performance optimization.

Skills

MLOps
Machine Learning Infrastructure
Python
Kubernetes
Terraform
AWS
vLLM
Ray
Triton
FastAPI
PyTorch
Model orchestration
GPU infrastructure
LLM inference
Observability
Data platform engineering

Benefits

Health benefits
Life insurance
Group savings with employer match
20 vacation days
4 wellness days
Unlimited sick days
Unlimited mental health days
90 days away program
Equity compensation

Visa sponsorship

Not detected in the job text

Keywords

MLOps
Machine Learning
GenAI
LLM
Infrastructure
Kubernetes
Terraform
AWS
Python
FastAPI
PyTorch
vLLM
Ray
Triton
LiteLLM
MLflow
SageMaker
Kafka
Postgres
Redshift
Snowflake
GPU
CUDA
Vector databases
Model routing
Observability
Microservices
Data platform
Inference
Benchmarking

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