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DRW

AI Enablement Engineer

Montreal, QC, Canada

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Job details

Posting language: English
Posted: Nov 3, 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 newly formed AI Platform Team owns this unified mission. While the engineering side of our team builds the platform rails, the AI Platform Support & Enablement focus area acts as the crucial "human-in-the-loop." We are dedicated to ensuring high user velocity and frictionless adoption of AI tools while actively managing firm-wide cost efficiency and user education.

The Role:

We are seeking AI Enablement Engineers to own the data plane user experience. You will be the face of AI tooling for the firm, supporting developers and business users who use tools such as Cursor, Devin, ChatGPT, and LibreChat.

Key Responsibilities:

Own the support queue for enterprise generative AI tools. Troubleshoot IDE integrations (Cursor, Devin), chat interfaces, and access issues.
Actively consult with high-spending teams to safely "downshift" their workloads from expensive proprietary models (like Claude Opus) to cheaper mid-tier or internal open-weight models without degrading output quality.
Review manual quota-increase requests triggered by the Management Plane and guide users through spend visibility via internal dashboards.
Identify weaknesses in tooling, prompt engineering, or model routing, and feed user pain points directly to the AI Platform Engineering focus area to inform the technical roadmap.
Promote and evangelize effective, responsible use of enterprise AI tools, for example, by helping users understand and adopt AI 'golden paths', sharing success stories, and leading workshops.

Required Qualifications:

Strong customer-facing communication skills and a "white-glove" support mentality.
Technical fluency in prompt engineering and a deep, practical understanding of current LLM capabilities, behaviors, and limitations.
Familiarity with developer environments, IDEs (VS Code, Cursor) and CLI tools (such as Claude or Codex), is a major plus
Strong context of internal firm culture, user base, and existing support channels.

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 AI Enablement Engineer will manage the support queue for enterprise generative AI tools and troubleshoot IDE integrations. They will also consult with teams to optimize model usage for cost efficiency and promote the adoption of AI best practices.

Requirements

Candidates must possess strong customer-facing communication skills and a white-glove support mentality. Technical fluency in prompt engineering and a deep understanding of LLM capabilities and developer environments are required.

Skills

Prompt engineering
LLM capabilities
Customer support
Technical troubleshooting
IDE integrations
VS Code
Cursor
CLI tools
Generative AI
Data plane management
User education
Stakeholder management
Model routing
Technical communication

Visa sponsorship

Not detected in the job text

Keywords

AI Enablement
Generative AI
LLM
Cursor
Devin
ChatGPT
LibreChat
Claude Opus
Prompt Engineering
IDE
VS Code
CLI
Data Plane
Management Plane
Trading Firm
Technology
Support
User Experience
Cost Efficiency
Model Routing
Enterprise AI

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