Building real-time and dynamic decision systems for operations management to increase the world's productivity is our core mission. Regardless of your objectives—be it optimizing costs, boosting profitability, or enhancing customer service—our team of talented scientists and engineers is dedicated to addressing real-world operational challenges. Leveraging operations research and top-tier software engineering, we deliver solutions that make a significant difference. Specializing in high-impact, complex projects, we distinguish ourselves by embracing the challenges others shy away from. Our approach is to offer risk-free integration, ensuring personalized, impactful solutions without upfront costs. This commitment to taking on the most daunting projects underlines our belief in delivering exceptional value and tailored optimization for every business scenario, making us a unique partner in driving operational excellence. Reach out to us at info@lisplogics.com to discover how we can solve your operational challenges together.
Remote · Montreal, Quebec, Canada
Design, build, and maintain backend services in Go, C++, and Python, integrating optimization engines with client systems and real-time data. Work directly with clients to define technical requirements, lead projects from scoping through deployment and follow-up, and improve production system performance and reliability.
Remote · Montreal, Quebec, Canada
Build and maintain React web applications, mobile applications, and backend services in Go and C++ that connect client-facing tools to optimization engines. Work directly with clients to gather requirements, present solutions, translate optimization results into usable interfaces, and support projects from scoping through deployment.
Remote · Montreal, Quebec, Canada
Design, build, and maintain backend services, integrating optimization engines with client systems and real-time data. Work directly with clients and lead projects from scoping through deployment and follow-up, while improving the performance and reliability of production systems.