Platform Engineer - AI Engineering

DRW Holdings, LLC; Montreal; On-site; CAD 90,000 - 120,000; Full time

Job summary

DRW Holdings, LLC is seeking a Platform Engineer to build and operationalize our AI tooling ecosystem. The candidate will connect external cloud AI providers, internal models, and end-user tools into a unified control plane, collaborating closely with engineering teams.

The role requires hands-on experience with Go and Python, API gateways, and cloud concepts. You will contribute to secure governance, robust dashboards, and scalable infrastructure in a fast-paced trading environment.

Qualifications

• Strong backend programming experience with Go and/or Python.
• Hands-on API design, integration, and platform/cloud engineering concepts.
• Familiarity with API gateways, proxy configuration, or distributed system networking.
• Interest in the evolving LLM ecosystem and AI tooling mechanics.
• Collaborative mindset with focus on clean, maintainable code.

Responsibilities

• Configure and manage multi-engine API gateways with dynamic routing, rate limits, and fallback logic for LLM requests.
• Migrate and integrate firm-wide tools into a centralized management plan to govern AI traffic and ensure secure logging.
• Operate within the Shared Responsibility Model with the Cloud team for AI services in enterprise landing zones (Azure OpenAI, deployments, API keys).
• Write robust Go and Python code to support a usage dashboard and implement automated friction mechanisms (alerts).
• Partner with Inference Infrastructure to register and routable self-hosted, on-premise models within AI gateways.

Skills

Go

Python

API design

Platform engineering

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.

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 buildsthe centralizedsoftware, 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,implementingdynamic routing rules, rate limits, and fallback logic for LLM requests.
• Execute the technical migration and integration of firm‑wide tools into our centralized managementplaneto 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.

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