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Lumbra

Orchestrates multi-agent AI in secure environments

Forward Deployed Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeHawaii, USANo salary listed

About the Job

Requirements

  • At least 4 years of professional software engineering experience.
  • Strong Python skills.
  • Experience building and operating reliable integrations, including authentication, rate limiting, and error recovery.
  • Working fluency in Kubernetes and containerized deployment.
  • Demonstrated experience working directly with non-technical users.
  • Demonstrated ability to operate autonomously at a distance from leadership.
  • Willingness to work on client site 80–100% of the time on Oahu, Hawaii.
  • U.S. citizenship and an active TS/SCI clearance.

Responsibilities

  • Build and deploy working software in classified customer environments.
  • Develop integrations against customer data sources, including tools, MCP servers, and authentication.
  • Operate the platform to keep team workflows reliable.
  • Configure agents and workflows in partnership with the Deployment Strategist, who owns mission correctness of their output.
  • Demonstrate the platform, deliver training, and act directly on user feedback.
  • Troubleshoot in air-gapped environments where external registries, package managers, and standard debugging tools are unavailable.
  • Create test coverage for error cases, network failures, and disconnected-environment edge conditions.
  • Document workflows, data sources, and site constraints, and report them to core engineering.
  • Send engagement learnings to core engineering weekly to inform the roadmap.

Desired Qualifications

  • Experience deploying software in air-gapped or SCIF environments, including disconnected package management and offline container registries.
  • Prior work with Intelligence Community or Department of Defense tooling, data formats, or workflows in IL6+ environments.
  • Experience with agentic systems, large language model application development, or evaluation of non-deterministic systems.
  • Helm chart authoring, workflow orchestration such as Temporal, and graph databases for entity resolution.
  • Experience with Rancher, ArgoCD, or Harbor in restricted environments.
  • Experience with, or willingness to learn, the intelligence cycle, all-source fusion, and, at J2 sites, JIPOE, the Joint Targeting Cycle, and F2T2EA.
  • Exposure to intelligence tools such as i2 Analyst's Notebook, MARS/MIDB, PROTON, ArcGIS Pro, TAC, FADE/MIST, VOLTRON, and OSINT platforms such as Babel Street, Maltego, Dataminr, or Recorded Future.

About the Company

Lumbra

Orchestrates multi-agent AI in secure environments

Lumbra builds LumbraOS, an operating system for agentic AI in high-consequence environments. It coordinates multi-agent workflows across agencies and systems with full provenance, continuous evaluation, and human oversight on every action. Nebula orchestrates agents and enforces data protections, StarChart provides a customer-owned knowledge graph with sources and sensitivity labels, and Astrolabe tests agents before deployment and scores them in production. The platform is model-neutral and supports classified, air-gapped, and on-premise deployments, and it is deployed on U.S. government networks with plans to extend the architecture to regulated commercial sectors.

Company size
11-50
Company stage
Series A
Total funding
$25M
Headquarters
Arlington County, VA
Founded
2025

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