Note: The job is a remote job and is open to candidates in USA. Legion Intelligence is a company focused on delivering secure and reliable AI systems that enhance human workflows. As a Staff Software Engineer, you will be responsible for designing, developing, and maintaining the core infrastructure of the AI platform, ensuring its stability and scalability while collaborating with cross-functional teams.

Responsibilities

• Lead the design and development of foundational components and frameworks that serve as the building blocks for our Agentic AI platform
• Collaborate with cross-functional teams to understand their needs and requirements, and create platform solutions that empower developers to build innovative applications on top of it
• Cultivate a growth mindset, constantly studying and staying current with design patterns, techniques, and technologies that attract developers to platforms and frameworks
• Work closely with machine learning engineers to build the infrastructure that supports ML workflows, ensuring seamless and efficient execution within enterprises
• Provide production support and troubleshooting expertise to ensure the platform's smooth operation and address any performance or scalability challenges

Skills

• US Citizenship or Greencard is required due to US Government contract requirements
• Bachelor's degree in Computer Science, Software Engineering, or a related field or equivalent experience
• 8–10+ years of software and platform engineering experience, with a strong track record of designing and operating large-scale distributed systems
• Deep experience building platform infrastructure and backend systems that serve multiple products and engineering teams
• Expert in Rust, with experience in designing and developing high-performance systems. All our performance-critical areas are developed in Rust
• Demonstrated expertise in database architecture and scalable data systems, including distributed databases, storage and indexing systems, data modeling and schema design, high-throughput and low-latency data access patterns
• Experience designing systems that support AI and machine learning workloads
• Familiarity in workflow engines, execution runtimes, and AI orchestration frameworks
• Growth mindset and low ego- you're eager to pick up new tools and technologies, learn from others, and be open to changing course when it's right
• Drive to foster a culture of collaboration, psychological safety, and technical excellence
• Strong advocate for inclusion in technical discussions at all levels
• Start-up experience or comfort in 0→1 product environments
• Familiarity with Kubernetes is a plus
• Understanding of DevOps practices and CI/CD pipelines for platform deployment

Company Overview