Closure Technologies
Technology
AI/MLEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“AI/ML Engineer at Closure Technologies. Skills: AI/ML, RAG, LLM integration. Implement RAG pipelines. Maintain RAG pipelines”
Industry & Context.
Advanced analytical problem-solving
TS/SCI with Polygraph, Work onsite full time, US citizenship
What They're Looking For.
Must Have
Demonstrated ability to conduct independent technical research, Ability to rapidly learn and apply new AI/ML methodologies, Experience developing AI/ML applications, Proficiency in Python, Active/current TS/SCI with required polygraph, US citizenship required, Minimum 8 years of experience with a Bachelor’s, Minimum 7 years of experience with a Masters, Minimum 6 years of experience with a Doctorate
Nice to Have
Advanced research experience in machine learning, Deep learning experience, Natural language processing experience, Generative AI experience, Reinforcement learning experience, Computer vision experience, Experience publishing research, Contributing to open-source AI/ML initiatives, Leading experimental and prototype development efforts, Familiarity with model evaluation frameworks, Familiarity with fine-tuning workflows, Familiarity with inference optimization, Familiarity with AI observability/monitoring tools, Experience with vector databases, Experience with AWS/cloud environments, Experience with Docker, Experience with containerized AI/ML development workflows, Experience designing and integrating REST APIs, Experience with scalable data architectures
What You'll Do.
Implement RAG pipelines
Maintain RAG pipelines
Integrate LLMs into applications
Develop REST API interactions
Maintain REST API interactions
Design Postgres schemas
Refine Postgres schemas
Full Job Description
Closure Technologies is seeking a AI/ML Engineer who will 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. Clearance Requirement: TS/SCI with Polygraph Key Responsibilities: Implement and maintain RAG pipelines, including document processing, embedding generation, retrieval configuration, and prompt assembly. Integrate LLMs into applications using available APIs and frameworks. Develop and maintain REST API interactions to support data retrieval and system integration. Design or refine Postgres schemas to improve data organization and query performance. Required Qualifications: Demonstrated ability to conduct independent technical research, evaluate emerging AI/ML approaches, and apply advanced analytical problem-solving comparable to PhD-level research environments. Ability to rapidly learn and apply new AI/ML methodologies, tools, and frameworks in support of evolving mission requirements. Experience developing AI/ML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows. Strong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations. Active/current TS/SCI with required polygraph. Willingness to work onsite full time. US citizenship required. 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 Preferred Qualifications: Advanced research experience in machine learning, deep learning, natural language processing, generative AI, reinforcement learning, computer vision, or related disciplines. Experience publishing research, contributing to open-source AI/ML initiatives, or leading experimental and prototype development efforts. Familiarity with model evaluation frameworks, fine-tuning w
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