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Forward Deployed Engineers build and deploy Nebula inside customer environments. Nebula, our agentic harness, runs in classified environments across the Intelligence Community and the Department of Defense, and our field organization is structured as small teams embedded at a single customer site for the life of an engagement.
You work directly with analysts and operators to understand what they need, then implement it: connectors against undocumented data sources, agent and integration work against undocumented workflows, and debugging in environments where standard tooling is unavailable.
You report to the lead for your engagement and work alongside the Deployment Strategists on the same team.
This role is on client site 80 to 100% of the time in the National Capital Region. It is not eligible for remote or hybrid work.
Lumbra builds the vendor neutral operating system for agentic AI in high consequence environments. In our first ten months we won four fully competed prime contracts across the U.S. Government, every one of them deploying into classified spaces. We are live on JWICS. We were selected from a field of 200+ companies for a defense innovation challenge and won it. We beat two established defense primes on the same program and earned the follow-on, now in execution.
Forward Deployed Engineers build and deploy Nebula inside customer environments. Nebula, our agentic harness, runs in classified environments across the Intelligence Community and the Department of Defense, and our field organization is structured as small teams embedded at a single customer site for the life of an engagement.
You work directly with analysts and operators to understand what they need, then implement it: connectors against undocumented data sources, agent and integration work against undocumented workflows, and debugging in environments where standard tooling is unavailable.
You report to the lead for your engagement and work alongside the Deployment Strategists on the same team.
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This role is on client site 80 to 100% of the time in the National Capital Region. It is not eligible for remote or hybrid work.
We publish the time allocation because field engineering is not the same job as platform engineering:
65% engineering. Connector and integration development, MCP server construction, platform operation, and troubleshooting in air-gapped environments.
25% users. Demonstrations, training, and acting on analyst feedback directly rather than routing it through someone else.
10% feeding the product back. Documenting what you learn on site and getting it to core engineering.
Working software in classified customer environments. You build it and you deploy it.
Integrations against customer data sources , including tool development, MCP server construction, and authentication.
Platform operation , so your team's workflows run reliably. You configure agents and workflows in partnership with the Deployment Strategist, who owns whether their output is mission correct.
The user relationship. You demonstrate the platform, deliver training, and act on feedback directly.
Troubleshooting in air-gapped environments where external registries, package managers, and standard debugging tools are unavailable.
Test coverage for error cases, network failures, and disconnected environment edge conditions.
The feedback loop to core engineering. Engagement learnings go back weekly, and they shape the roadmap.
CIA officers, MIT engineers, Special Operations combat veterans, and applied AI engineers from frontier labs including Anthropic and Google. You will make decisions that immediately affect national security. You will own part of a company early and when it matters.
A deployment role that hands off to someone else for user interaction.
A domain or workflow role without production engineering responsibility.
A role that operates from fully specified requirements.
A remote engineering job with occasional site visits. You sit with your users.
Building AI orchestration frameworks for secure intelligence environments.
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Mid · 4+ years experience
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