Drweng24d ago

AI Full Stack Software Developer

Montréal · Montrealmid

Data ScienceOtherSoftwareFull Stack Software Developer

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Quick Summary

Key Responsibilities

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

Requirements Summary

Bachelor's or Master's degree in Computer Science or Software Engineering. 4-7+ years building production software systems with demonstrated technical leadership.

Technical Tools

Data ScienceOtherSoftwareFull Stack Software Developer

Responsibilities

~1 min read

→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

~1 min read

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