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

Legion Intelligence is focused on delivering secure and reliable AI systems that enhance human workflows. They are seeking an Agentic AI Engineer to bridge the gap between their AI platform and customer outcomes by building applications that demonstrate real operational value.

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:

• 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
• US Citizenship or Greencard is required due to US Government contract requirements
• 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)