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Wait","2026-09-24T19:22:52","layered-defense-we-dont-need-to-wait","https:\u002F\u002Fentry.grvty.com\u002Flayered-defense-we-dont-need-to-wait\u002F",{"node":400},{"altText":17,"mediaItemUrl":401,"mediaDetails":402},"https:\u002F\u002Fentry.grvty.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002FLayered-Approach-v3.jpg",{"width":379,"height":380,"sizes":403},[404,406,408,410,412],{"sourceUrl":405,"width":133},"https:\u002F\u002Fentry.grvty.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002FLayered-Approach-v3-300x169.jpg",{"sourceUrl":407,"width":136},"https:\u002F\u002Fentry.grvty.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002FLayered-Approach-v3-648x365.jpg",{"sourceUrl":409,"width":139},"https:\u002F\u002Fentry.grvty.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002FLayered-Approach-v3-768x432.jpg",{"sourceUrl":411,"width":142},"https:\u002F\u002Fentry.grvty.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002FLayered-Approach-v3-1024x576.jpg",{"sourceUrl":413,"width":145},"https:\u002F\u002Fentry.grvty.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002FLayered-Approach-v3-1280x720.jpg",{"linkOverride":171,"outlet":292},1792733298274,[],{"company":418,"job_id":419,"title":420,"slug":421,"apply_url":422,"clearance":423,"categories":424,"locations":426,"description_html":428},"GRVTY","4242439009","CNO AI\u002FML Engineer","cno-aiml-engineer-apkmfwqt","https:\u002F\u002Fjob-boards.greenhouse.io\u002Fgrvty\u002Fjobs\u002F4418312009","TS\u002FSCI",[425],"Cyber",[427],"Sterling, VA","\u003Cp>\n    \u003Cstrong>\n        What You'll be Owning\n    \u003C\u002Fstrong>\n\u003C\u002Fp>\n\u003Cul>\n    \u003Cli>\n        Implementing and maintaining RAG pipelines, including document processing, embedding generation, retrieval configuration, and prompt assembly\n    \u003C\u002Fli>\n    \u003Cli>\n        Integrating LLMs into applications using available APIs and frameworks\n    \u003C\u002Fli>\n    \u003Cli>\n        Developing and maintaining REST API interactions to support data retrieval and system integration\n    \u003C\u002Fli>\n    \u003Cli>\n        Deploying and maintaining self-hosted LLMs\n    \u003C\u002Fli>\n    \u003Cli>\n        Red teaming of LLM alignment\n    \u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\n    \u003Cstrong>\n        What You Must Have\n    \u003C\u002Fstrong>\n\u003C\u002Fp>\n\u003Cul>\n    \u003Cli>\n        Active TS\u002FSCI with ability to obtain a Polygraph Clearance\n    \u003C\u002Fli>\n    \u003Cli>\n        Minimum 8 years of experience with a Bachelor’s degree; or 7 years of experience with a Masters degree; or 6 years of experience with a Doctorate\n    \u003C\u002Fli>\n    \u003Cli>\n        Demonstrated ability to conduct independent technical research, evaluate emerging AI\u002FML approaches, and apply advanced analytical problem-solving comparable to PhD-level research environments\n    \u003C\u002Fli>\n    \u003Cli>\n        Ability to rapidly learn and apply new AI\u002FML methodologies, tools, and frameworks in support of evolving mission requirements\n    \u003C\u002Fli>\n    \u003Cli>\n        Experience developing AI\u002FML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows\n    \u003C\u002Fli>\n    \u003Cli>\n        Strong proficiency in Python and modern AI\u002FML libraries, frameworks, and API integrations\n    \u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\n    \u003Cstrong>\n        What Would be Nice to Have\n    \u003C\u002Fstrong>\n\u003C\u002Fp>\n\u003Cul>\n    \u003Cli>\n        Advanced research experience in machine learning, deep learning, natural language processing, generative AI, reinforcement learning, computer vision, or related disciplines.\n    \u003C\u002Fli>\n    \u003Cli>\n        Experience publishing research, contributing to open-source AI\u002FML initiatives, or leading experimental and prototype development efforts.\n    \u003C\u002Fli>\n    \u003Cli>\n        Familiarity with model evaluation frameworks, fine-tuning workflows, inference optimization, and AI observability\u002Fmonitoring tools.\n    \u003C\u002Fli>\n    \u003Cli>\n        Experience with vector databases, AWS\u002Fcloud environments, Docker, and containerized AI\u002FML development workflows.\n    \u003C\u002Fli>\n    \u003Cli>\n        Experience designing and integrating REST APIs and scalable data architectures.\n    \u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\n    \u003Cstrong>\n        Pay Range:\n    \u003C\u002Fstrong>\n    At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.\nWe’re proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.\nOur benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.\n\u003C\u002Fp>\n\u003Cul>\n    \u003Cli>\n        The pay range for this position is: $175,000 - $225,000\n    \u003C\u002Fli>\n\u003C\u002Ful>\n"]