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Lumbra

Orchestrates multi-agent AI in secure environments

Full-Stack Software Engineer - Core Platform

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Ship production Python, including asynchronous programming, relational modeling, and layered services, as well as production React and TypeScript.
  • Reason comfortably about data flow through every layer, from schema to user-interface state.
  • Write clean, well-tested code and work test-first.

Responsibilities

  • Design and build FastAPI endpoints backed by PostgreSQL and SQLAlchemy for agent configuration, workflow orchestration, and evaluation pipelines.
  • Implement interactive React and TypeScript features, including conversation interfaces, workflow visualization, and knowledge-graph exploration.
  • Build durable workflow orchestration for long-running agent execution, including delegation, monitoring, and timeout propagation.
  • Own features across the full stack, from database migration through API contract to user-interface state.
  • Create clean abstractions and well-defined interfaces for a fast-moving codebase, and write code that remains understandable, refactorable, and extensible through frequent change.
  • Write contract-driven tests across the backend and frontend that cover the specification rather than the implementation, using a test-first approach.
  • Design testing for non-deterministic AI components, including metamorphic testing, property-based testing, and regression suites that detect capability loss without overfitting to specific outputs.
  • Contribute to the Python and TypeScript client software development kits so programmatic consumers have ergonomic, well-typed access.
  • Own performance across the stack and profile before diagnosing issues, including API latency, query efficiency, render performance, and end-to-end streaming latency.
  • Debug across service boundaries using local environments and distributed tracing.

Desired Qualifications

  • Experience with agentic AI systems, including harness engineering, context engineering, or building on large language model application programming interfaces.
  • Experience with distributed task orchestration systems.
  • Experience with graph databases or vector search for knowledge representation and retrieval.
  • Experience with Model Context Protocol or similar tool-use frameworks.
  • Experience with identity management, including OAuth2 or OpenID Connect.
  • Contributions to open-source developer tooling.
  • Experience with intelligence analysis, open-source intelligence, or analytical workflows that inform product intuition.
  • Experience with cloud infrastructure such as Google Cloud Platform or equivalent, including managed Kubernetes, managed databases, and secrets management.

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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