{"schemaVersion":"jobsearcher.job.v1","id":"eb5b741b316dec9e4eec131d","url":"https://jobsearcher.com/jobs/eb5b741b316dec9e4eec131d","canonicalUrl":"https://jobsearcher.com/jobs/eb5b741b316dec9e4eec131d","title":"Senior Python Software Engineer (Data, AI, Graph)","description":"About MappedMapped is an AI-powered data platform for commercial and industrial spaces that helps property owners, facility operators, and solution providers to rapidly access real-time data from building systems, sensors, devices, and vendor APIs by automating the data discovery, extraction, and normalization process. Mapped uses machine learning to abstract the complexities of data integration to create an independent data layer with an open-source data model.About The RoleAs a Senior Python Software Engineer (Data, AI, Graph), you'll build scalable backend systems that power seamless human-AI interactions at enterprise scale. You'll work with graph databases, machine learning pipelines, and real-time data processing to tackle a core challenge: how do we build the data infrastructure and algorithms that make complex AI feel effortless to human users for buildings?We're looking for an engineer who shares our passion for data and thrives on solving complex algorithmic and system challenges. The ideal candidate has strong experience developing and deploying large-scale services in production, with expertise in Python, distributed systems, and either graph technologies or ML infrastructure.What You'll DoBuild microservices and tools for online data/label managementBuild services for AI applicationsManage CI/CD of the microservices and related databasesCoordinate with ML engineers to efficiently deploy ML modelsCoordinate with the DevOps team to follow the best practices in engineering and operationQualificationsMust-have SkillsStrong understanding of microservices with REST or gRPC in Python Strong understanding of data models, preferably in MongoDB Experience with handling complex data modelsStrong commitment to writing testable, maintainable codeFamiliarity with ML life cyclesNice-to-have SkillsFamiliarity with graph data modelsFamiliarity with Large Language Models and prompting designExperience with high-availability systems (99.9%+ uptime)Exposure to IoT or building systems","company":"Mapped","rawCompany":"mapped","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-14T12:17:50.575Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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":"Senior Python Software Engineer (Data, AI, Graph)","description":"About MappedMapped is an AI-powered data platform for commercial and industrial spaces that helps property owners, facility operators, and solution providers to rapidly access real-time data from building systems, sensors, devices, and vendor APIs by automating the data discovery, extraction, and normalization process. Mapped uses machine learning to abstract the complexities of data integration to create an independent data layer with an open-source data model.About The RoleAs a Senior Python Software Engineer (Data, AI, Graph), you'll build scalable backend systems that power seamless human-AI interactions at enterprise scale. You'll work with graph databases, machine learning pipelines, and real-time data processing to tackle a core challenge: how do we build the data infrastructure and algorithms that make complex AI feel effortless to human users for buildings?We're looking for an engineer who shares our passion for data and thrives on solving complex algorithmic and system challenges. The ideal candidate has strong experience developing and deploying large-scale services in production, with expertise in Python, distributed systems, and either graph technologies or ML infrastructure.What You'll DoBuild microservices and tools for online data/label managementBuild services for AI applicationsManage CI/CD of the microservices and related databasesCoordinate with ML engineers to efficiently deploy ML modelsCoordinate with the DevOps team to follow the best practices in engineering and operationQualificationsMust-have SkillsStrong understanding of microservices with REST or gRPC in Python Strong understanding of data models, preferably in MongoDB Experience with handling complex data modelsStrong commitment to writing testable, maintainable codeFamiliarity with ML life cyclesNice-to-have SkillsFamiliarity with graph data modelsFamiliarity with Large Language Models and prompting designExperience with high-availability systems (99.9%+ uptime)Exposure to IoT or building systems","datePosted":"2026-08-14T12:17:50.575Z","dateModified":"2026-08-14T12:17:50.575Z","hiringOrganization":{"@type":"Organization","name":"Mapped","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"eb5b741b316dec9e4eec131d"},"url":"https://jobsearcher.com/jobs/eb5b741b316dec9e4eec131d"}}