Note: The job is a remote job and is open to candidates in USA. Legion Intelligence is a company that delivers secure and reliable AI systems designed to optimize workflows in critical government and enterprise environments. The Staff Software Engineer - Platform role involves designing, developing, and maintaining core infrastructure for their AI platform, focusing on scalable, high-performance systems using Python and Rust. The position also includes collaborating with cross-functional teams and supporting production stability and scalability of the platform.
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