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# AI/ML Platform Engineer

- **Company:** REDLattice
- **Location:** Dulles, VA, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, Design of User Interfaces, Open Source Technology, Azure Machine Learning, Reverse Engineering, Systems Integration, Large Language Models, AI Platforms, Deployment Automation, OPUS (Software), Api Design, Cyber Warfare, Vulnerability Analysis
- **Published:** August 20, 2026
- **Apply:** https://www.dice.com/job-detail/e32e7673-4738-4b54-85b1-5154cf96e80c

## About the Role

* Experience deploying and managing large language models (LLMs) in self-hosted or offline environments.
 * Experience supporting cybersecurity, vulnerability research (VR), reverse engineering, or cyber operations.
 * Experience with one or more current LLMs such as Opus, Sonnet, MiniMax, Qwen, or similar.
 * Experience building APIs, tooling, or interfaces that integrate AI capabilities into existing applications or workflows.
 * Strong troubleshooting and systems integration skills.
 * Active TS/SCI clearance with current or ability to obtain polygraph.

## Description

REDLattice is seeking an AI Platform Engineer to help build and maintain secure, offline AI capabilities that support advanced cyber operations. In this role, you'll evaluate, deploy, and operationalize cutting-edge large language models (LLMs) in air-gapped environments, enabling development and vulnerability research teams to leverage AI effectively and securely. This position focuses on AI platform engineering and infrastructure, not model training or AI research. You'll be responsible for creating the systems, interfaces, and workflows that make AI accessible and useful across mission teams., * Evaluate emerging large language models (LLMs) for mission applicability, including open-source and commercially available models.

 * Deploy, configure, and maintain offline/air-gapped LLM environments.
 * Build and maintain AI platforms that provide secure, reliable access to LLM capabilities.
 * Develop harnesses, APIs, and user interfaces that enable engineers and researchers to leverage AI within secure environments.
 * Integrate LLMs into development and vulnerability research (VR) workflows to improve productivity and mission effectiveness.
 * Assess infrastructure, compute, storage, and networking requirements needed to support AI deployments.
 * Monitor, maintain, and optimize AI platform performance, reliability, and scalability.
 * Collaborate with software developers, vulnerability researchers, reverse engineers, and cyber operators to identify opportunities for AI integration.
 * Stay current with advances in foundation models and recommend new capabilities as the AI landscape evolves.


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