{"schemaVersion":"jobsearcher.job.v1","id":"df546f1a6baeb7a02ac42257","url":"https://jobsearcher.com/jobs/df546f1a6baeb7a02ac42257","canonicalUrl":"https://jobsearcher.com/jobs/df546f1a6baeb7a02ac42257","title":"Fullstack Developer","description":"A World Changing Mission\nPolysentry’s leading data analytics and intelligence solutions empower teams to swiftly convert vast amounts of global data into actionable and contextual insights, enabling organizations to make better decisions.\nWe engage in close collaboration with customers in high-stakes industries, including financial services, legal, and government. The vital insights we deliver play a pivotal role in safeguarding critical assets on a global scale.\n‍\nOur Company\nPolysentry is a technology company that provides industry leading data discovery, classification and analysis solutions. Since 2018, Polysentry has been building and deploying mission-ready AI-based platforms that meet rapidly evolving security needs. The company’s software solutions are built for corporate and government organizations.\n‍\nOur Team\n‍\nOur innovative team is building cutting-edge Retrieval-Augmented Generation (RAG) systems that significantly improve information retrieval accuracy. We're working with the latest embedding models, vector databases, and LLMs to develop solutions that maintain critical context during retrieval operations.\n‍\nThe Role\n‍\nWe're seeking a Developer to contribute to our advanced RAG platform under the guidance of our senior engineers. You'll help implement and optimize systems that reduce retrieval failure rates by improving how context is maintained during information retrieval. You'll get hands-on experience with contextual embedding techniques while building practical features for our platform.\n‍\nResponsibilities\nImplement document preprocessing pipelines for contextual embeddings and BM25\nBuild and improve UI components for our RAG system dashboard\nDevelop integration points between different components of the retrieval system\nTest and compare different retrieval strategies across various knowledge domains\nHelp implement evaluation frameworks to measure retrieval performance\nContribute to documentation and technical resources for both internal and external use\n‍\nRequirements\nExperience with frontend and backend development\nUnderstanding of embedding models and vector search concepts\nFamiliarity with REST APIs and data processing pipelines\nKnowledge of modern web development frameworks\nAbility to work with Python for data processing tasks\nExperience with databases (SQL and/or vector databases)\nSolid testing and debugging skills\nGood communication and collaboration abilities\n‍\nNice to Have\nExperience with BM25, TF-IDF, or other lexical search algorithms\nKnowledge of LLMs and prompt engineering\nFamiliarity with performance optimization techniques\nUnderstanding of evaluation metrics for information retrieval\nExperience with data visualization or dashboard development\nBackground or interest in NLP or computational linguistics\nPrevious work with document processing or chunking strategies\n‍\nTHINK YOU ARE A GOOD FIT? SUBMIT YOUR RESUME FOR THE POSITION TODAY! CONTACT@POLYSENTRY.COM","company":"Polysentry","rawCompany":"polysentry","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-04T16:18:01.422Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Fullstack Developer","description":"A World Changing Mission\nPolysentry’s leading data analytics and intelligence solutions empower teams to swiftly convert vast amounts of global data into actionable and contextual insights, enabling organizations to make better decisions.\nWe engage in close collaboration with customers in high-stakes industries, including financial services, legal, and government. The vital insights we deliver play a pivotal role in safeguarding critical assets on a global scale.\n‍\nOur Company\nPolysentry is a technology company that provides industry leading data discovery, classification and analysis solutions. Since 2018, Polysentry has been building and deploying mission-ready AI-based platforms that meet rapidly evolving security needs. The company’s software solutions are built for corporate and government organizations.\n‍\nOur Team\n‍\nOur innovative team is building cutting-edge Retrieval-Augmented Generation (RAG) systems that significantly improve information retrieval accuracy. We're working with the latest embedding models, vector databases, and LLMs to develop solutions that maintain critical context during retrieval operations.\n‍\nThe Role\n‍\nWe're seeking a Developer to contribute to our advanced RAG platform under the guidance of our senior engineers. You'll help implement and optimize systems that reduce retrieval failure rates by improving how context is maintained during information retrieval. You'll get hands-on experience with contextual embedding techniques while building practical features for our platform.\n‍\nResponsibilities\nImplement document preprocessing pipelines for contextual embeddings and BM25\nBuild and improve UI components for our RAG system dashboard\nDevelop integration points between different components of the retrieval system\nTest and compare different retrieval strategies across various knowledge domains\nHelp implement evaluation frameworks to measure retrieval performance\nContribute to documentation and technical resources for both internal and external use\n‍\nRequirements\nExperience with frontend and backend development\nUnderstanding of embedding models and vector search concepts\nFamiliarity with REST APIs and data processing pipelines\nKnowledge of modern web development frameworks\nAbility to work with Python for data processing tasks\nExperience with databases (SQL and/or vector databases)\nSolid testing and debugging skills\nGood communication and collaboration abilities\n‍\nNice to Have\nExperience with BM25, TF-IDF, or other lexical search algorithms\nKnowledge of LLMs and prompt engineering\nFamiliarity with performance optimization techniques\nUnderstanding of evaluation metrics for information retrieval\nExperience with data visualization or dashboard development\nBackground or interest in NLP or computational linguistics\nPrevious work with document processing or chunking strategies\n‍\nTHINK YOU ARE A GOOD FIT? SUBMIT YOUR RESUME FOR THE POSITION TODAY! CONTACT@POLYSENTRY.COM","datePosted":"2026-08-04T16:18:01.422Z","dateModified":"2026-08-04T16:18:01.422Z","hiringOrganization":{"@type":"Organization","name":"Polysentry","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"df546f1a6baeb7a02ac42257"},"url":"https://jobsearcher.com/jobs/df546f1a6baeb7a02ac42257"}}