[Remote] Agentic Platform Engineering Manager (Remote US)

Note: The job is a remote job and is open to candidates in USA. Legion Intelligence builds secure, reliable AI systems that enhance human workflows and mission-critical platforms. The Engineering Manager will lead a team developing agentic AI applications, platform capabilities, and data infrastructure while guiding architecture, delivery, engineering practices, and team development.

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

• US Citizenship or Greencard is required due to US Government contract requirements
• You must be domiciled in the U.S. (must live permanently and maintain home address in the US)
• 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