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

Legion Intelligence

$150K — $200K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's in Computer Science, AI, Engineering, or related field.
  • 3-5 years of software engineering experience.
  • Experience building production-ready AI applications with workflows and integrations.
  • Ability to quickly transition ideas into high-quality products.
  • Strong understanding of product usefulness beyond technical aspects.
  • Proficient in API integration and enterprise system connectivity.
  • Excellent cross-team communication and collaboration skills.
  • Growth mindset with a willingness to learn new tools and adapt.

Responsibilities

  • Build AI applications that address actual customer needs using platform capabilities.
  • Design workflows, plugins, and integrations to provide customer value.
  • Convert vague problems into user-friendly AI solutions.
  • Rapidly develop applications, iterating based on user feedback.
  • Collaborate with platform engineers to refine reusable components.
  • Identify and standardize patterns from customer deployments into products.
  • Ensure high quality in customer-facing deliverables, focusing on user experience.

Benefits

  • Fully remote position within the US.
  • Opportunity to work directly with product and engineering teams.
  • Ability to influence the direction of AI product development.
  • Culture of collaboration and technical excellence.
  • Support for professional growth and inclusion in technical discussions.
Full Job Description
Agentic AI Engineer / Software Engineer - AI Applications (Remote US)

***US Citizenship or Greencard is required due to US Government contract requirements***

Job Summary:

We're looking for an Agentic Engineer to bridge the gap between our AI platform and customer outcomes. You'll take the platform capabilities our engineering teams build-agents, workflows, memory, reasoning, integrations, and tools-and turn them into polished, customer-ready applications that demonstrate immediate value.

This is an engineering role for someone who enjoys building end-to-end experiences. You'll work directly with product and platform engineers to rapidly build, iterate, and ship AI applications that align with 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.

Required Skills and Qualifications:
  • 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.

Preferred Qualifications:
  • Start-up experience or comfort in 01 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)


Compensation Information

$150,000-$200,000 USD

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