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Added 23 hours ago
1P
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EI
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Kelowna, BC
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Elkford, BC
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MNP
ON · Ontario, Canada
- Full-time
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Montreal, QC
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Toronto, ON
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développeur, RBC amplifie 2027, Montréal / Developer, RBC Amplify 2027, Montreal
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- Full-time

DRW

Platform Engineer - AI Engineering

Montreal, QC, Canada

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Job details

Posting language: English
Posted: Oct 26, 2026

Original job description

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

The Team:

As AI tools drive immense value across the firm, our organization faces a "Dual Mandate": providing low-friction access to the best frontier AI tools while strictly managing an exponentially growing cost curve. The unified AI Platform Team builds the centralized software, operations, and governance layers that safely route users to the most cost-effective models.

The Role:

We are looking for a Platform Engineer to help build and operationalize our AI tooling ecosystem. Working closely with the Team Lead and Senior/Staff SWE, you will be the hands-on integrator connecting external cloud AI providers, internal models, and end-user tools into our unified control plane.

Key Responsibilities:

Configure and manage multi-engine API gateways, implementing dynamic routing rules, rate limits, and fallback logic for LLM requests.
Execute the technical migration and integration of firm-wide tools into our centralized management plane to ensure all AI traffic is securely logged and governed.
Operate within our Shared Responsibility Model alongside the Cloud team to manage AI services deployed in enterprise landing zones (e.g., managing Azure OpenAI instances, model deployments, and API key generation).
Write robust Go and Python code to support the continuous sync loop for our usage dashboard and implement automated "progressive friction" mechanisms, such as alerts.
Partner with the Inference Infrastructure pod to ensure our self-hosted, on-premise models are successfully registered and routable within our AI gateways.

Required Qualifications:

Strong backend programming experience, specifically in Go and/or Python.
Hands-on experience with API design, integration, and platform/cloud engineering concepts.
Familiarity with API gateways, proxy configuration, or distributed system networking.
A strong interest in the rapidly evolving LLM ecosystem and the technical mechanics of AI tooling.
A collaborative mindset with a focus on writing clean, maintainable code to replace prototype systems.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

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More about this job

Responsibilities

The Platform Engineer will build and operationalize an AI tooling ecosystem by integrating cloud AI providers, internal models, and end-user tools. Responsibilities include managing multi-engine API gateways, implementing routing rules, and ensuring secure governance of AI traffic.

Requirements

Candidates must have strong backend programming experience in Go or Python and hands-on experience with API design and platform engineering. A strong interest in the LLM ecosystem and experience with distributed system networking are also required.

Skills

Go
Python
API Design
Platform Engineering
Cloud Engineering
API Gateways
Proxy Configuration
Distributed Systems
Networking
LLM Ecosystem
AI Tooling
Azure OpenAI
Model Deployment
Infrastructure

Visa sponsorship

Not detected in the job text

Keywords

Platform Engineer
AI Engineering
Go
Python
API Gateway
LLM
Cloud Engineering
Azure OpenAI
Distributed Systems
Networking
Governance
Inference Infrastructure
Backend Development
Automation
Trading Firm
Software Engineering
Integration
Model Deployment
API Design
Enterprise Landing Zones

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