Agentic AI Engineer / Software Engineer - AI Applications (Remote US)

Legion Intelligence develops secure, reliable AI systems that enhance human workflows and mission-critical operations. The Agentic AI Engineer will build end-to-end, customer-ready AI applications by designing agentic workflows, integrating tools and enterprise systems, and iterating solutions into production.

Responsibilities:

• Build agentic applications that solve real customer use cases using our platform capabilities
• Design agentic workflows, plugins, and tool integrations that deliver measurable customer value
• Translate ambiguous problems into intuitive AI experiences
• Rapidly build new applications, gather feedback, and iterate into production-ready solutions
• Partner closely with platform engineers to inform abstractions and reusable components
• Identify common patterns across customer deployments and help evolve them into reusable products
• Own customer-facing quality—from UX and reliability to performance and evaluation

Requirements:

• 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)
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or related discipline
• 3-5 years of software engineering experience
• Experience building production-ready agentic AI applications using AI agents, workflows, MCP, and tool orchestration
• Ability to move quickly from idea to working product while maintaining high engineering quality
• Strong product instincts—you care about whether something is useful, not just technically impressive
• Experience integrating APIs, enterprise systems, and external data sources
• Excellent communication and collaboration across engineering and product teams
• 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
• Solid understanding of AI security practices including RBAC/ABAC, audit logging, and prompt-level safeguards
• Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)