{"schemaVersion":"jobsearcher.job.v1","id":"1e2e52135bee8039c8a93b8a","url":"https://jobsearcher.com/jobs/1e2e52135bee8039c8a93b8a","canonicalUrl":"https://jobsearcher.com/jobs/1e2e52135bee8039c8a93b8a","title":"Core AI/ML Software Engineer","description":"About the jobMeeBoss is sharing this active opportunity on behalf of the hiring company. This role involves owning the AI brain of the Defendermate platform, building pipelines to mine unstructured security intelligence, and developing agentic workflows that assess exploitability against real customer configurations.The position sits at the intersection of NLP, agentic AI, and systems engineering.Job titleCore AI/ML Software EngineerCompanyMeeBossLocationRemoteWhat you will doBuild pipelines that continuously scan open-source security intelligence, process unstructured text, and extract structured exploitation conditions for each CVE.Design and ship agentic workflows that evaluate whether a given CVE is exploitable against a customer’s specific resource configuration.Build and iterate on LLM evaluation systems to measure and improve the quality of generated exploitation conditions and agent verdicts.Develop ML models, including classifiers and NLP pipelines, to ground and constrain LLM output as real-world telemetry accumulates.Own exploratory R&D end-to-end, including scoping ambiguous problems, prototyping approaches, and delivering production-ready solutions.Partner with the broader engineering team to productize models and pipelines and integrate them into the platform.Select, benchmark, and manage the AI/ML tooling stack, including LLM providers, orchestration frameworks, vector stores, and experiment tracking.Establish data and ML engineering standards for reproducibility, monitoring, and pipeline orchestration.What we are looking forProficiency in Machine Learning and Python.Experience with NLP and Data Retrieval.Familiarity with Docker.About MeeBossMeeBoss helps job seekers and hiring teams make direct, relevant career connections.","company":"Meeboss","rawCompany":"meeboss","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-27T09:53:23.598Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1299.05","title":"Information Security Engineers","slug":"information-security-engineers"}],"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Core AI/ML Software Engineer","description":"About the jobMeeBoss is sharing this active opportunity on behalf of the hiring company. This role involves owning the AI brain of the Defendermate platform, building pipelines to mine unstructured security intelligence, and developing agentic workflows that assess exploitability against real customer configurations.The position sits at the intersection of NLP, agentic AI, and systems engineering.Job titleCore AI/ML Software EngineerCompanyMeeBossLocationRemoteWhat you will doBuild pipelines that continuously scan open-source security intelligence, process unstructured text, and extract structured exploitation conditions for each CVE.Design and ship agentic workflows that evaluate whether a given CVE is exploitable against a customer’s specific resource configuration.Build and iterate on LLM evaluation systems to measure and improve the quality of generated exploitation conditions and agent verdicts.Develop ML models, including classifiers and NLP pipelines, to ground and constrain LLM output as real-world telemetry accumulates.Own exploratory R&D end-to-end, including scoping ambiguous problems, prototyping approaches, and delivering production-ready solutions.Partner with the broader engineering team to productize models and pipelines and integrate them into the platform.Select, benchmark, and manage the AI/ML tooling stack, including LLM providers, orchestration frameworks, vector stores, and experiment tracking.Establish data and ML engineering standards for reproducibility, monitoring, and pipeline orchestration.What we are looking forProficiency in Machine Learning and Python.Experience with NLP and Data Retrieval.Familiarity with Docker.About MeeBossMeeBoss helps job seekers and hiring teams make direct, relevant career connections.","datePosted":"2026-09-27T09:53:23.598Z","dateModified":"2026-09-27T09:53:23.598Z","hiringOrganization":{"@type":"Organization","name":"Meeboss","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1e2e52135bee8039c8a93b8a"},"url":"https://jobsearcher.com/jobs/1e2e52135bee8039c8a93b8a"}}