Legion operates a workforce management platform anchored in optimization (Gurobi, CPLEX, OR-Tools) and real-time scheduling across retail and food-service verticals. The engineering-heavy org (26 of 42 open roles) is actively scaling the mobile surface (Flutter adoption, React Native in stack) and building generative AI features into core scheduling logic—a pattern that maps to their stated pain around runtime performance and multi-tenant scalability, suggesting the platform is shifting from rules-based scheduling toward ML-assisted labor planning.
Notable leadership hires: Director of Engineering
Legion Technologies builds an employee-centric workforce management platform for mid-market and enterprise labor-intensive operations in retail and food service. The core offering combines demand forecasting, schedule optimization, and employee engagement tools via web and mobile interfaces. The platform is architected on Java/Spring Boot backend (MySQL, cloud-native across AWS/Azure/GCP) with multi-platform mobile (React Native, Flutter, Swift, Kotlin). Active development spans optimization integrations, data pipeline infrastructure, and generative AI features embedded into scheduling workflows. The company operates across the United States, Mexico, India, and Romania.
Backend: Java, Spring Boot, Hibernate, MySQL. Mobile: React Native, Flutter, Swift, Kotlin. Optimization engines: Gurobi, CPLEX, OR-Tools. Cloud: AWS, Azure, GCP. CI/CD: GitHub Actions, Jenkins, Bitrise. Frontend: React, Angular.
Active projects include generative AI integration into the scheduling platform, mobile framework evolution (Flutter), demand forecasting and labor planning suites, data pipeline infrastructure, and CI/CD optimization to support multi-tenant SaaS scalability.
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