Productionize high-throughput AI integrations for threat intelligence, incident response, and zero-trust cybersecurity workflows.
Engineer air-gapped and sovereign cloud AI deployments adhering to strict defense and security compliance frameworks (e.g., FedRAMP High, IL5/6).
Optimize model execution, local caching, and containerized runtimes for restricted hardware and bare-metal environments.
Embed with technical stakeholders to translate mission needs into modular AI solutions and mentor teams on system sustainment.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
2 years of experience with software engineering in Python, Go, or C++.
Experience with LLM orchestration, embeddings, vector search, and agent frameworks.
Experience working in a cybersecurity domain (e.g., security engineering, threat detection and response, vulnerability research, or cyber operations) and with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Experience with systems architecture.
Must possess an active Top Secret/SCI security clearance with current polygraph.
Preferred qualifications
Experience acting as a forward-deployed engineer or technical consultant in mission environments.
Experience with model context protocol servers, representational state transfer application programming interfaces, and Google AD or similar libraries.
Proven ability to interface directly with technical clients to scope and deliver software projects.
Bachelor’s degree or equivalent practical experience.
2 years of experience with software engineering in Python, Go, or C++.
Experience with LLM orchestration, embeddings, vector search, and agent frameworks.
Experience working in a cybersecurity domain (e.g., security engineering, threat detection and response, vulnerability research, or cyber operations) and with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Experience with systems architecture.
Must possess an active Top Secret/SCI security clearance with current polygraph.
