Software Engineer

About Legion

Let’s be real, AI isn’t magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world’s most critical challenges.

Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don’t replace workflows—we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use.

With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we’re building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises.

We’re looking for bold thinkers and doers to join us in shaping the future of AI that’s secure, grounded, and built to work.

Senior RUST Developer / Senior Software Engineer - Platform (Remote USA)

***US Citizenship or Greencard is required due to US Government contract requirements***

***This role requires RUST programming language experience***

Job Summary:

As a Senior Software Engineer, you will play a key role in developing and maintaining the core infrastructure that underpins our AI platform. Your expertise in coding and architecture will be instrumental in building out core platform features, while your proficiency in Rust will enable you to contribute to the growth of our technology stack. Your experience with production support, Kubernetes, and Docker will ensure the platform's stability and reliability.

Responsibilities:

• Design and develop 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.

Required Skills and Qualifications: