Senior AI Platform Engineer responsible for building, deploying, integrating, and operating secure AI platforms, open-weight models, developer tooling, and agent-based systems. Job Requirements Bachelor's degree with 8+ years of relevant experience, Master's degree with 5+ years of relevant experience, or PhD with 3+ years of relevant experience Hands-on software and AI platform engineering experience Advanced Python development experience Experience with at least one of Go, Rust, or TypeScript Experience building complex AI platforms and systems Production experience deploying and operating open-weight models on self-managed infrastructure Experience implementing AI platform services Experience with sovereign model deployment Experience building AI coding or developer tooling using large language models Experience with code retrieval, context handling, and developer toolchain integration Applied experience with LLM orchestration, retrieval, tool calling, and evaluation Experience building and deploying MCP servers, tool-calling integrations, or equivalent agent-to-system connectors Systems integration experience across APIs, event streams, data pipelines, and identity systems Experience delivering complex technical systems into production environments Preferred Skills Experience delivering AI or software systems within the Department of Defense, intelligence community, or defense industrial base Experience with authorization and accreditation processes Experience operating within accredited, air-gapped, or restricted environments Experience deploying sovereign AI models for mission users Experience with fine-tuning, distillation, or model adaptation Experience measuring performance improvements from model adaptation Contributions to open-source AI projects Published work involving AI agents, MCP, or open-weight model ecosystems Job Responsibilities Design and build complex AI platforms and supporting services Deploy and operate open-weight models on self-managed infrastructure Implement secure and scalable AI platform services Develop sovereign model deployment capabilities Build AI-powered coding and developer tools Develop code retrieval, context management, and toolchain integration capabilities Implement LLM orchestration, retrieval, tool calling, and evaluation workflows Build and maintain MCP servers and agent-to-system integrations Integrate AI platforms with APIs, event streams, data pipelines, and identity systems Deploy AI models and platform capabilities into production environments Support AI platform operations in restricted, accredited, or air-gapped environments Develop and integrate model adaptation, fine-tuning, or distillation workflows as required

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