3 дня назад
AI Fullstack Software Developer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Fullstack Software Developer (Python/LLM/RAG): Building internal AI and machine learning systems, scalable RAG infrastructure, and LLM evaluation frameworks to improve productivity across a trading firm with an accent on full-stack development, distributed systems, and production reliability. Focus on designing agentic AI solutions, evaluating model quality, integrating APIs and microservices, and taking projects from conception through operational handoff.
Location: Montréal, Canada preferred; remote considered for the right candidate
Company
is a diversified trading firm using sophisticated technology across traditional and non-traditional asset classes, including cryptoassets.
What you will do
- Build internal systems and tooling powered by AI and machine learning.
- Architect scalable retrieval-augmented generation (RAG) systems using current research and implementations.
- Design LLM evaluation frameworks to measure model quality and performance.
- Collaborate with traders, researchers, and engineers to define and deliver critical features.
- Drive projects from technical planning and execution through production deployment and operational handoff.
- Maintain reliability through monitoring, alerting, proactive maintenance, code reviews, and documented code.
Requirements
- Bachelor’s or Master’s degree in Computer Science or Software Engineering.
- 4–7+ years of experience building production software systems, with demonstrated technical leadership.
- Strong full-stack development experience with modern web frameworks and backend services.
- Proficiency in Python is required, plus experience with Go, Rust, C++, or Java.
- Deep understanding of API design, microservices, distributed systems, Docker, orchestration platforms, databases, and message queues.
- Hands-on experience with LLMs, RAG architectures, and agentic AI systems, plus strong communication skills.
Culture & Benefits
- Work in an environment emphasizing autonomy, innovation, integrity, and high expectations.
- Collaborate across trading, research, engineering, and AI teams.
- Research emerging technologies and contribute ideas for new tools and technology adoption.
- Opportunity to work on systems supporting markets and teams across global offices.
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