{"schemaVersion":"jobsearcher.job.v1","id":"1dcfeb73091a449cba647de7","url":"https://jobsearcher.com/jobs/1dcfeb73091a449cba647de7","canonicalUrl":"https://jobsearcher.com/jobs/1dcfeb73091a449cba647de7","title":"AI/ML Engineer","description":"hatch I.T. is partnering with Expression to find an AI/ML Engineer. See details below:\nAbout The Role:\nExpression is seeking an experienced AI/ML Engineer to design, optimize, and evaluate machine learning capabilities that operate efficiently on heterogeneous edge computing platforms. Working closely with software engineers, you will develop AI pipelines that enable intelligent signal characterization, data prioritization, distributed inference, and decision support while operating within constrained compute, bandwidth, and communications environments.\nThe ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge AI optimization, and production deployment of AI systems.\nSecurity Clearance: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)\nAbout the Company:\nFounded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression’s “Perpetual Innovation” culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.\nResponsibilities:\nDesign and implement AI capabilities supporting intelligent data characterization, classification, prioritization, and decision support.\nEvaluate, optimize, and deploy open-weight foundation models appropriate for resource-constrained edge environments.\nDevelop efficient inference pipelines supporting heterogeneous compute environments ranging from embedded processors to workstation-class systems.\nImplement Retrieval-Augmented Generation (RAG), semantic search, and knowledge retrieval capabilities where appropriate.\nDesign AI orchestration workflows supporting distributed inference across multiple edge devices.\nDevelop evaluation methodologies for AI accuracy, latency, resource utilization, and operational performance.\nImplement model monitoring, observability, testing, and automated evaluation frameworks.\nCollaborate with software engineers to integrate AI models into production software platforms.\nOptimize models using quantization, pruning, distillation deployment technologies.\nSupport experimentation involving multimodal data sources, sensor-derived features, and structured mission data.\nDevelop AI governance practices including model evaluation, explainability, responsible AI, and secure deployment.\nDocument model development, evaluation results, and technical recommendations.\nSupport customer demonstrations and prototype evaluations.\nQualifications:\nBachelor degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or related discipline. An advanced degree is preferred.\n5-8+ years of professional experience developing production AI or machine learning applications.\nStrong Python programming experience.\nExperience with PyTorch.\nExperience deploying LLMs in production environments.\nExperience with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar orchestration frameworks.\nExperience implementing Retrieval-Augmented Generation (RAG).\nExperience with vector databases and semantic search.\nExperience deploying AI models on edge or resource-constrained devices.\nExperience with model optimization techniques including quantization, model compression, or inference acceleration.\nExperience designing evaluation frameworks for AI systems.\nExperience with Docker and cloud-native AI deployment.\nExcellent communication and collaboration skills.\nPreferred Qualifications:\nExperience applying AI to sensor analytics, time-series data, or signal processing.\nExperience with software-defined radio data, RF analytics, or geospatial data analytics.\nExperience developing multimodal AI applications.\nExperience deploying AI across distributed edge computing environments..\nExperience supporting DoD, Intelligence Community, or Federal customers.\nExperience working in bandwidth-constrained or disconnected operational environments.\nExperience supporting National Security or Federal Civilian customers.\nBenefits:\nExpression offers competitive salaries and benefits, such as:\n401k matching\nPPO and HDHP medical/dental/vision insurance\nEducation reimbursement up to $10,000/yr\nComplimentary life insurance\nGenerous PTO and 11 days of holiday leave\nOnsite gym facility and trainer\nCommuter Benefits Plan\nIn-office Cold Brew Coffee\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","company":"Hatch It","rawCompany":"hatch it","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-08-04T19:26:46.211Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI/ML Engineer","description":"hatch I.T. is partnering with Expression to find an AI/ML Engineer. See details below:\nAbout The Role:\nExpression is seeking an experienced AI/ML Engineer to design, optimize, and evaluate machine learning capabilities that operate efficiently on heterogeneous edge computing platforms. Working closely with software engineers, you will develop AI pipelines that enable intelligent signal characterization, data prioritization, distributed inference, and decision support while operating within constrained compute, bandwidth, and communications environments.\nThe ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge AI optimization, and production deployment of AI systems.\nSecurity Clearance: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)\nAbout the Company:\nFounded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression’s “Perpetual Innovation” culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.\nResponsibilities:\nDesign and implement AI capabilities supporting intelligent data characterization, classification, prioritization, and decision support.\nEvaluate, optimize, and deploy open-weight foundation models appropriate for resource-constrained edge environments.\nDevelop efficient inference pipelines supporting heterogeneous compute environments ranging from embedded processors to workstation-class systems.\nImplement Retrieval-Augmented Generation (RAG), semantic search, and knowledge retrieval capabilities where appropriate.\nDesign AI orchestration workflows supporting distributed inference across multiple edge devices.\nDevelop evaluation methodologies for AI accuracy, latency, resource utilization, and operational performance.\nImplement model monitoring, observability, testing, and automated evaluation frameworks.\nCollaborate with software engineers to integrate AI models into production software platforms.\nOptimize models using quantization, pruning, distillation deployment technologies.\nSupport experimentation involving multimodal data sources, sensor-derived features, and structured mission data.\nDevelop AI governance practices including model evaluation, explainability, responsible AI, and secure deployment.\nDocument model development, evaluation results, and technical recommendations.\nSupport customer demonstrations and prototype evaluations.\nQualifications:\nBachelor degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or related discipline. An advanced degree is preferred.\n5-8+ years of professional experience developing production AI or machine learning applications.\nStrong Python programming experience.\nExperience with PyTorch.\nExperience deploying LLMs in production environments.\nExperience with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar orchestration frameworks.\nExperience implementing Retrieval-Augmented Generation (RAG).\nExperience with vector databases and semantic search.\nExperience deploying AI models on edge or resource-constrained devices.\nExperience with model optimization techniques including quantization, model compression, or inference acceleration.\nExperience designing evaluation frameworks for AI systems.\nExperience with Docker and cloud-native AI deployment.\nExcellent communication and collaboration skills.\nPreferred Qualifications:\nExperience applying AI to sensor analytics, time-series data, or signal processing.\nExperience with software-defined radio data, RF analytics, or geospatial data analytics.\nExperience developing multimodal AI applications.\nExperience deploying AI across distributed edge computing environments..\nExperience supporting DoD, Intelligence Community, or Federal customers.\nExperience working in bandwidth-constrained or disconnected operational environments.\nExperience supporting National Security or Federal Civilian customers.\nBenefits:\nExpression offers competitive salaries and benefits, such as:\n401k matching\nPPO and HDHP medical/dental/vision insurance\nEducation reimbursement up to $10,000/yr\nComplimentary life insurance\nGenerous PTO and 11 days of holiday leave\nOnsite gym facility and trainer\nCommuter Benefits Plan\nIn-office Cold Brew Coffee\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","datePosted":"2026-08-04T19:26:46.211Z","dateModified":"2026-08-04T19:26:46.211Z","hiringOrganization":{"@type":"Organization","name":"Hatch It","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1dcfeb73091a449cba647de7"},"url":"https://jobsearcher.com/jobs/1dcfeb73091a449cba647de7"}}