Legion Intelligence
Posted 13 days agoVerified live 2d ago
Agentic AI Engineer / Software Engineer - AI Applications (Remote US)
Brief overview
Remote
UndergradOr in progress
$170k–$200k/yrStated range
3+ yrsMinimum
5 H-1B approvalsDept. of Labor
Agentic AI ApplicationsAI AgentsAI WorkflowsMCPTool OrchestrationAPI IntegrationEnterprise Systems IntegrationExternal Data IntegrationAI SecurityRBAC/ABACAudit LoggingPrompt-Level Safeguards
About the company
Legion Intelligence
Legion Intelligence delivers secure, dependable agentic systems that work alongside people tackling critical challenges.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.5H-1B approved
83%approval rate
2new H-1B hires
$87,400median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20243
20252
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20241
20261
Top sponsored roles
Business Analyst
Job description
Summary
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
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)
- 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)
Qualifications
Must Haves
- 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
Nice to Haves
- 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)
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