Forward-Deployed Engineer

Legion Intelligence • Washington, DC

1d • Remote

About The Position

This position requires a US Department of Defense or Intelligence TS/SCI clearance. We’re looking for a forward-deployed engineer to work directly with customers to design and build custom workflows on top of our agentic AI platform. This is not a traditional product or platform engineering role. You will sit with end users, understand mission needs, and rapidly develop “app packs” and workflows that solve real operational problems. You’ll operate as both a builder and a translator—turning ambiguous requirements into working systems. You’ll have a finger on the pulse of our end users, transforming requests and requirements into truly transformative agentic AI solutions that revolutionize user workflows. You will spend the majority of your time (80–100%) embedded with customers, working independently in classified or constrained environments. Success in this role requires autonomy, strong communication, and the ability to ship practical solutions quickly. You’ll also act as a feedback loop into product and engineering—surfacing patterns, feature gaps, and opportunities to improve the core platform. Due to Government contract requirements, we are only able to hire US citizens or Green Card holders.

Requirements

• 4+ years of experience in Forward Deployed Engineering, Solution Engineering, or similar customer-facing technical roles
• Experience building and shipping full-stack applications or prototypes in production or near-production environments
• Proficiency in Python, JavaScript/TypeScript, or similar scripting languages
• Experience integrating with enterprise systems (e.g., Microsoft O365, Palantir Foundry, Databricks, ServiceNow, Atlassian)
• Ability to build simple UI/UX using frameworks like Node.js, Next.js, or React
• Proven ability to operate autonomously and solve ambiguous problems
• Strong communication skills with both technical and non-technical stakeholders
• 4+ years supporting military, intelligence, or defense-related environments
• Familiarity with mission domains such as operations, logistics, intelligence, or C4/IT systems
• US Department of Defense or Intelligence TS/SCI clearance required
• Must be a US citizen or Green Card holder

Nice To Haves

• Experience working in classified or restricted environments is a plus
• Experience working with government or federal customers preferred
• Experience building or deploying AI/ML systems, especially agentic workflows
• Familiarity with tools such as n8n, Palantir Foundry, or other workflow/automation platforms
• Experience evaluating AI system performance and interpreting results
• Exposure to product telemetry, usage analytics, or feedback-driven iteration
• Experience working in early-stage or high-growth startup environments

Responsibilities

• Embed with customer teams to understand mission workflows, pain points, and operational constraints
• Design and build custom applications and workflows (“app packs”) on top of the platform
• Rapidly prototype and iterate on agentic AI solutions in real-world environments
• Translate non-technical user needs into technical implementations
• Operate independently in forward-deployed environments with minimal oversight
• Gather and synthesize product feedback, feature requests, and usage insights
• Collaborate with product engineering and agentic solution teams to influence roadmap and capabilities
• Integrate with enterprise systems (data platforms, ticketing systems, collaboration tools, etc.)
• Build lightweight UI components and interfaces where needed to support workflows
• Support deployment, troubleshooting, and ongoing iteration of solutions in the field

Benefits

• This role sits at the edge of product and reality. You won’t be building features that may or may not get used—you’ll be building systems that are immediately deployed and tested in the field.
• If you want to work close to the mission, own outcomes end-to-end, and have a direct hand in shaping both product and customer success, this is the role.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed