AI Full Stack Software Developer

Montreal, Quebec, CanadaRemoteFull TimePosted 2 months ago

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Role summary

DRW is seeking an AI Full Stack Software Developer to join their AI and Multi Asset Systematic Strategies team in Montréal. This role involves building AI and ML-powered internal systems, tools, and infrastructure to enhance firm productivity. Responsibilities include architecting RAG systems, designing LLM evaluation frameworks, providing technical expertise in AI/ML, and collaborating with cross-functional teams. The ideal candidate will have 4-7+ years of production software experience, strong full-stack development skills, proficiency in Python, and experience with LLMs, RAG, and distributed systems. Experience with containerization, databases, and message queues is also required.

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.

We are looking for an AI Full Stack Software Developer to join our AI and Multi Asset Systematic Strategies team. This team builds AI and ML-powered tools and solutions that enable teams across the firm to work more effectively. You'll build critical infrastructure and tooling that harnesses AI and machine learning to boost productivity across the firm. Location: Montréal (preferred). Open to remote for the right candidate.

Responsibilities:

Build internal systems that leverage AI and Machine Learning to create tooling that assists the firm.

Architect efficient and highly scalable RAG systems informed by cutting-edge research and state-of-the-art implementations.

Design and implement robust and scalable LLM evaluation frameworks to measure model quality and performance.

Provide technical expertise in relevant AI and ML technologies.

Collaborate closely with traders, researchers, and engineers to define and implement critical features.

Research emerging technologies and evaluate new frameworks for enhancing trading and AI systems.

Drive projects from conception to production, including technical planning, execution, and operational handoff.

Ensure system uptime and reliability through monitoring, alerting, and proactive maintenance.

Write clean, maintainable, and well-documented code that adheres to company standards and best practices.

Conduct code reviews to ensure high-quality code is maintained.

Continuously learn and stay up-to-date with emerging technologies and best practices in AI and software development.

Proactively contribute ideas for new tools, process improvements, and technology adoption that move the team forward.

Requirements:

Bachelor's or Master's degree in Computer Science or Software Engineering.

4-7+ years building production software systems with demonstrated technical leadership.

Strong full-stack development experience with modern web frameworks and backend services.

Proficiency in Python (required) and experience with at least one systems language (Go, Rust, C++, or Java).

Deep understanding of API design, microservices architecture, and distributed systems.

Hands-on experience with containerization (Docker) and orchestration platforms.

Strong grasp of software engineering principles including design patterns, testing strategies, and code maintainability.

Strong experience with LLMs, RAG architectures, and Agentic AI systems.

Experience with databases (PostgreSQL, Redis) and message queues (Kafka, RabbitMQ).

Strong communication and interpersonal skills with ability to lead technical discussions

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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