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AI/ML Engineer

Closure Technologies
McLean1w ago

About the role

<section id="comp-km6xx8tr" class="comp-km6xx8tr CohWsy wixui-column-strip"> <div class="V5AUxf" data-testid="columns"> <div id="comp-km6xx8v2" class="comp-km6xx8v2 YzqVVZ wixui-column-strip__column"> <div id="bgLayers_comp-km6xx8v2" class="MW5IWV CJOjs7" data-hook="bgLayers" data-motion-part="BG_LAYER comp-km6xx8v2"> <div id="bgMedia_comp-km6xx8v2" class="VgO9Yg" data-motion-part="BG_MEDIA comp-km6xx8v2"></div> </div> <div class="" data-mesh-id="comp-km6xx8v2inlineContent" data-testid="inline-content"> <div data-mesh-id="comp-km6xx8v2inlineContent-gridContainer" data-testid="mesh-container-content"> <div id="comp-km6xymr7" class="MMl86N zQ9jDz qvSjx3 Vq6kJx comp-km6xymr7 wixui-rich-text" data-testid="richTextElement"> <p class="font_5 wixui-rich-text__text">&nbsp;</p> <section id="comp-km6xx8tr" class="comp-km6xx8tr CohWsy wixui-column-strip"> <div class="V5AUxf" data-testid="columns"> <div id="comp-km6xx8v2" class="comp-km6xx8v2 YzqVVZ wixui-column-strip__column"> <div class="" data-mesh-id="comp-km6xx8v2inlineContent" data-testid="inline-content"> <div data-mesh-id="comp-km6xx8v2inlineContent-gridContainer" data-testid="mesh-container-content"> <div id="comp-km6xymr7" class="MMl86N zQ9jDz qvSjx3 Vq6kJx comp-km6xymr7 wixui-rich-text" data-testid="richTextElement"> <p class="font_5 wixui-rich-text__text"><strong>Closure Technologies</strong> is seeking a&nbsp;<strong>AI/ML Engineer </strong>who will&nbsp;Implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into applications, supported by API development and optimizing data storage through Postgres schema refinement.</p> <p><strong>Clearance Requirement:</strong>&nbsp;TS/SCI with Polygraph</p> <p><strong>Key Responsibilities:</strong></p> <ul> <li>Implement and maintain RAG pipelines, including document processing, embedding generation, retrieval configuration, and prompt assembly.</li> <li>Integrate LLMs into applications using available APIs and frameworks.</li> <li>Develop and maintain REST API interactions to support data retrieval and system integration.</li> <li>Design or refine Postgres schemas to improve data organization and query performance.</li> </ul> <p><strong>Required Qualifications:</strong></p> </div> </div> </div> </div> </div> </section> <ul> <li>Demonstrated ability to conduct independent technical research, evaluate emerging AI/ML approaches, and apply advanced analytical problem-solving comparable to PhD-level research environments.</li> <li>Ability to rapidly learn and apply new AI/ML methodologies, tools, and frameworks in support of evolving mission requirements.</li> <li>Experience developing AI/ML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows.</li> <li>Strong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations.</li> <li>Active/current TS/SCI with required polygraph.</li> <li>Willingness to work onsite full time.</li> <li>US citizenship required.</li> <li>Senior Labor Category: 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</li> </ul> <p><strong>Preferred Qualifications:</strong></p> <ul> <li>Advanced research experience in machine learning, deep learning, natural language processing, generative AI, reinforcement learning, computer vision, or related disciplines.</li> <li>Experience publishing research, contributing to open-source AI/ML initiatives, or leading experimental and prototype development efforts.</li> <li>Familiarity with model evaluation frameworks, fine-tuning workflows, inference optimization, and AI observability/monitoring tools.</li> <li>Experience with vector databases, AWS/cloud environments, Docker, and containerized AI/ML development workflows.</li> <li>Experience designing and integrating REST APIs and scalable data architectures.</li> </ul> <p class="font_5 wixui-rich-text__text">&nbsp;</p> </div> </div> </div> </div> </div> </section>

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