Note: The job is a remote job and is open to candidates in USA. Legion Intelligence develops secure, reliable AI systems and intelligent infrastructure for government and enterprise environments. The Engineering Manager will lead a team building agentic AI applications and platform capabilities, overseeing architecture, engineering execution, team development, and production delivery across AI engineering, platform engineering, and data infrastructure.
Responsibilities
- Lead, mentor, and grow engineers working across agentic AI applications and platform systems
- Set expectations for team execution and delivery from early product concepts through production deployment and operation
- Partner closely with Product, Design, Platform Engineering, and go-to-market teams to translate customer problems into clear engineering priorities
- Establish strong engineering patterns for **agent workflows, MCP and tool integrations, service design, APIs, deployment, and inter-service communication**
- Guide architecture and engineering trade-offs, balancing rapid product iteration with long-term maintainability and platform scalability
- Bring an informed perspective to data infrastructure and data management for enterprise AI systems
- Remove blockers and improve engineering processes so the team can move quickly without sacrificing quality
- Stay close to the technology and contribute directly when needed, particularly on architecture, prototypes, and technically complex initiatives
- Foster a culture of ownership, collaboration, experimentation, continuous learning, and low-ego technical decision-making
- Recruit, mentor, and retain exceptional engineers
Skills
- 8+ years of software engineering experience, including significant experience designing and operating production software systems
- 2+ years of experience hiring, managing, and developing engineering teams
- Strong software architecture and systems engineering background, with the ability to guide technical decisions across application and platform layers
- Experience building or supporting AI/ML platforms or AI-powered products, including technologies such as LLMs, AI agents, model serving, MCP, tool calling, workflows, or enterprise integrations
- Hands-on experience with cloud infrastructure, distributed systems, and container orchestration technologies such as Kubernetes
- Strong technical judgment and the ability to make pragmatic trade-offs between speed, simplicity, scalability, and maintainability
- Experience partnering closely with Product and other engineering teams to define roadmaps and deliver customer value
- Proven experience hiring, mentoring, and developing high-performing engineers
- Excellent communication skills and a collaborative, low-ego leadership style
- Excitement for 0→1 product development and building at the intersection of AI infrastructure and customer-facing experiences
- Experience working in Rust or leading teams operating in a Rust-heavy environment
- Familiarity with AI evaluation frameworks, observability, and production
- Experience designing systems for the enterprise
- Experience in startup or high-growth environments where teams iterate rapidly
- Exposure to regulated or mission-critical industries such as defense, healthcare, finance, or telecommunications
Company Overview