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Added 19 days ago
Software Developer, Manufacturing Data Solutions (Python/SQL)
Sonova AG
Kitchener, ON
As a Software Developer, you will apply your expertise to deliver reliable and scalable data-oriented solutions in a collaborative global environment.
Added 1 month ago
Robotics - Software Development Engineer
Amazon
Toronto, ON
Full-time
Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
Added 1 month ago
Robotics - Software Development Engineer Intern - 2026 - Toronto
Amazon
Toronto, ON
Full-time
Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
Added 28 days ago
Principal Engineer, AI
BMO
Toronto, ON · BMOPLACE
Full-time
…by taking real engineering assets that includes an existing developer portal, an AI registry, a body of policy-as-code, and gateway integrations and hardening, scaling, enhancing and…
Added 28 days ago
Principal Engineer, AI Platform
BMO
Toronto, ON · BMOPLACE
Full-time
…by taking real engineering assets that includes an existing developer portal, an AI registry, a body of policy-as-code, and gateway integrations, and hardening, scaling, and governing them…
Added 28 days ago
Principal Architect, AI Platform
BMO
Toronto, ON · BMOPLACE
Full-time
You will hold architectural oversight across the AI Platform capabilities including Developer Experience, Security, DevOps, and Data Analytics. You will work across teams and organizations…
Added 19 days ago
Senior GenAI Engineer/Lead
Capgemini
Montreal, QC
We are seeking a GenAI & AI/ML Framework Specialist to design, build, and scale next-generation artificial intelligence solutions.
Added 28 days ago
Senior Artificial Intelligence Platform Engineer & Fabrics
BMO
Toronto, ON · BMOPLACE
Full-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 28 days ago
Senior Artificial Intelligence Platform Engineer, AI Platform & Fabrics
BMO
Toronto, ON · BMOPLACE
Full-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 28 days ago
Generative AI Developer
Citi
Mississauga, ON
Full-time
Proficiency in Python for GenAI development, data preprocessing, and scripting.
Added 1 month ago
Applied Researcher
eBay
Toronto, ON
Full-time
The Depop team is investing in advanced Machine Learning, NLP, LLM/GenAI, RAG, and AI technologies to develop more intelligent and engaging marketplace experiences for our global community.…
Added 1 month ago
Senior Software Engineer I
Thomson Reuters
Toronto, ON
Full-time
Backend & AI Skills: Experience building APIs and services with Python as a core language, and working familiarity with GenAI concepts including prompt engineering, agentic system design,…
Added 1 month ago
Staff Software Engineer I
Thomson Reuters
Toronto, ON
Full-time
Backend Skills & AI Skills: Hands-on experience building APIs and services with Python as a core language, working knowledge of Node.js, and working familiarity with GenAI concepts…
Added 1 month ago
Senior Back End Engineer
Stellar Creative Lab
Vancouver, BC
Full-time
…future of animation tech, starting with Slingshot, bridging GenAI with production pipelines. Join us on the ground floor as we scale from an internal secret weapon to a global industry…
Added 1 month ago
AI Architect
Synopsys Inc
Mississauga, ON
Full-time
Proven experience delivering AI/ML, GenAI, or agentic AI applications in production environments.
Added 1 month ago
Manager, AI & Data Consulting
Artefact North America
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 1 month ago
Director, AI & Data Science
Artefact North America
Montreal, QC
Contributing to AI Strategy: Partnering with senior leadership to shape GenAI architecture direction, tooling decisions, and platform roadmap within your area.
Added 1 month ago
Director, AI & Agentic Engineering
Artefact North America
Montreal, QC
Contributing to AI Strategy: Partnering with senior leadership to shape GenAI architecture direction, tooling decisions, and platform roadmap within your area.
Added 1 month ago
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 1 month ago
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 1 month ago
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 1 month ago
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 1 month 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 1 month ago
Lead AI Test Automation Architect
High Tech Genesis
Canada
Contract
Strong Python, TypeScript, or Java development
Added 1 month ago
Senior Applied AI Engineer
BMO
Toronto, ON · FCP
Full-time
cross-functional teams to deliver scalable, secure, and compliant AI products. The engineer will design and implement GenAI and agent-based

Wealthsimple

Senior Software Developer, LLM Infrastructure

Canada

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

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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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