{"schemaVersion":"jobsearcher.job.v1","id":"b8ac8d37e560f2a72fb23f18","url":"https://jobsearcher.com/jobs/b8ac8d37e560f2a72fb23f18","canonicalUrl":"https://jobsearcher.com/jobs/b8ac8d37e560f2a72fb23f18","title":"AI Application Developer","description":"MGRM Pinnacle Inc.\nLocation: Tempe, Arizona\nWork Arrangement: This is a full-time, on-site position. Remote work is not available for this role.\n\nAbout the Role\nMGRM Pinnacle Inc. is seeking an experienced AI Application Developer to design, build, and deliver complete AI-enabled applications across our healthcare, education, compliance, and citizen-facing technology platforms.\nThis is not a role focused solely on adding AI features to existing applications. We are looking for a strong software engineer who can think across the entire application—from architecture, backend services, APIs, and data models to front-end user experience—and determine how AI should be integrated into the product from the ground up.\nThe ideal candidate combines solid full-stack application development experience with hands-on experience building applications that use large language models (LLMs), retrieval-augmented generation (RAG), AI assistants, summarization, classification, or agentic workflows.\n\nKey Responsibilities\nEnd-to-End Application Development\nDesign and build complete AI-enabled applications from architecture through deployment.\nDevelop backend services, APIs, data models, and user-facing application components.\nBuild responsive front-end experiences using modern frameworks such as React, Vue, or Angular.\nIntegrate new applications with existing enterprise systems and shared data sources.\nTranslate business and operational requirements into secure, scalable technical solutions.\n\nAI & LLM Development\nBuild AI capabilities including RAG-based search, summarization, classification, copilot-style assistants, and multi-step agentic workflows.\nIntegrate applications with locally hosted and enterprise-managed LLM environments.\nDesign, test, version, and improve production prompt templates.\nDevelop evaluation methods and test sets to measure AI output quality and reliability.\nIdentify and mitigate hallucination, accuracy, latency, context-window, and other LLM-related risks.\n\nSecure & Reliable Development\nDevelop applications in accordance with established security and data-classification requirements.\nFollow secure coding practices and build applications capable of passing automated security and code-quality checks.\nWrite unit and integration tests to support reliable releases.\nFollow appropriate secrets-management and credential-handling practices.\nMaintain clear technical documentation for the applications you develop.\n\nCollaboration & Product Ownership\nWork with product, engineering, compliance, healthcare, education, and other stakeholders to translate business needs into working applications.\nTake ownership of assigned applications and features from initial design through testing and release.\nParticipate in code reviews, technical design discussions, and Agile/Scrum development processes.\nSupport documentation and evidence requirements for applications operating in regulated environments.\n\nRequired Qualifications\nApproximately 5 years of professional software engineering experience, including experience building and shipping production applications.\nAt least 2 years of hands-on experience developing AI/LLM-based applications.\nExperience developing across the application stack, including backend services, APIs, databases, and front-end interfaces.\nStrong programming experience with one or more of the following:\nPython (FastAPI or Django)\nJava\nNode.js\nTypeScript\nExperience with a modern front-end framework such as React, Vue, or Angular.\nExperience designing or consuming REST and/or GraphQL APIs.\nExperience working with SQL databases and at least one NoSQL data store.\nExperience with Git-based development workflows, unit testing, and integration testing.\nHands-on experience building at least one meaningful AI-based application using an LLM in production or in a substantial production-oriented prototype.\n\nAI Experience We Are Looking For\nCandidates should have practical experience with one or more of the following:\nRetrieval-Augmented Generation (RAG)\nPrompt engineering and prompt templating\nAI-powered search\nSummarization or classification applications\nCopilot-style assistants\nAgentic or multi-step AI workflows\nLangChain, LlamaIndex, or similar orchestration frameworks\nVector databases such as pgvector, Qdrant, or Milvus\nOllama, vLLM, or similar model-serving environments\nEvaluating LLM output for quality, accuracy, and hallucination risk\n\nPlease note: Using ChatGPT or an AI coding assistant to help write code is not, by itself, the type of AI development experience we are seeking. Candidates should be able to discuss an application they have built that actually calls and uses an AI model as part of the product.\n\nAdditional Skills That Are Helpful\nExperience in any of the following areas is beneficial but not required:\nDocker\nGitHub Actions or GitLab CI\nPostman or API testing\nKubernetes fundamentals\nKong API Gateway\nOWASP Top 10 and OWASP LLM Top 10\nHealthcare technology or HL7/FHIR APIs\nGovernment or e-governance applications\nRegulated or sensitive-data environments\nISO/IEC 27001 or ISO/IEC 42001\nCMMI-aligned software development environments\n\nWho Will Be Successful in This Role\nYou may be a strong fit if you:\nThink about the complete application rather than only the AI model or feature.\nHave personally built an AI-enabled application and can explain its architecture, data flow, AI components, and user experience.\nEnjoy solving the practical challenges of LLM applications, including hallucination, latency, evaluation, context limits, and reliability.\nAre comfortable owning an application from initial requirements through development, testing, and release.\nApproach prompt development with the same discipline as software development—testing, versioning, reviewing, and documenting changes.\nCan work with both technical and non-technical stakeholders to turn an idea or business requirement into a practical working application.\nValue secure, well-documented development practices, particularly when working with sensitive or regulated information.\n\nAbout MGRM Pinnacle Inc.\nMGRM Pinnacle Inc. is part of MGRM Group, a multi-domain organization with technology and service initiatives spanning healthcare, education, compliance, e-governance, and related digital platforms.\nOur technology teams develop and support platforms serving complex operational environments where security, reliability, usability, and responsible use of AI are critical.\n\nHow to Apply\nPlease submit your resume along with a brief description of one AI-based application you have built or significantly contributed to.\nIn your response, briefly tell us:\nWhat problem the application solved\nWhat you personally built or were responsible for\nWhat AI model(s), framework(s), or tools you used\nHow the AI functionality was incorporated into the overall application\nWhat you learned from the project or would approach differently today\nA traditional cover letter is not required.\n\nApplications that clearly demonstrate hands-on AI application development experience will receive priority consideration.","company":"Mgrm","rawCompany":"mgrm","city":"Tempe","state":"AZ","isRemote":false,"isActive":true,"createdAt":"2026-09-06T14:28:07.862Z","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":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Application Developer","description":"MGRM Pinnacle Inc.\nLocation: Tempe, Arizona\nWork Arrangement: This is a full-time, on-site position. Remote work is not available for this role.\n\nAbout the Role\nMGRM Pinnacle Inc. is seeking an experienced AI Application Developer to design, build, and deliver complete AI-enabled applications across our healthcare, education, compliance, and citizen-facing technology platforms.\nThis is not a role focused solely on adding AI features to existing applications. We are looking for a strong software engineer who can think across the entire application—from architecture, backend services, APIs, and data models to front-end user experience—and determine how AI should be integrated into the product from the ground up.\nThe ideal candidate combines solid full-stack application development experience with hands-on experience building applications that use large language models (LLMs), retrieval-augmented generation (RAG), AI assistants, summarization, classification, or agentic workflows.\n\nKey Responsibilities\nEnd-to-End Application Development\nDesign and build complete AI-enabled applications from architecture through deployment.\nDevelop backend services, APIs, data models, and user-facing application components.\nBuild responsive front-end experiences using modern frameworks such as React, Vue, or Angular.\nIntegrate new applications with existing enterprise systems and shared data sources.\nTranslate business and operational requirements into secure, scalable technical solutions.\n\nAI & LLM Development\nBuild AI capabilities including RAG-based search, summarization, classification, copilot-style assistants, and multi-step agentic workflows.\nIntegrate applications with locally hosted and enterprise-managed LLM environments.\nDesign, test, version, and improve production prompt templates.\nDevelop evaluation methods and test sets to measure AI output quality and reliability.\nIdentify and mitigate hallucination, accuracy, latency, context-window, and other LLM-related risks.\n\nSecure & Reliable Development\nDevelop applications in accordance with established security and data-classification requirements.\nFollow secure coding practices and build applications capable of passing automated security and code-quality checks.\nWrite unit and integration tests to support reliable releases.\nFollow appropriate secrets-management and credential-handling practices.\nMaintain clear technical documentation for the applications you develop.\n\nCollaboration & Product Ownership\nWork with product, engineering, compliance, healthcare, education, and other stakeholders to translate business needs into working applications.\nTake ownership of assigned applications and features from initial design through testing and release.\nParticipate in code reviews, technical design discussions, and Agile/Scrum development processes.\nSupport documentation and evidence requirements for applications operating in regulated environments.\n\nRequired Qualifications\nApproximately 5 years of professional software engineering experience, including experience building and shipping production applications.\nAt least 2 years of hands-on experience developing AI/LLM-based applications.\nExperience developing across the application stack, including backend services, APIs, databases, and front-end interfaces.\nStrong programming experience with one or more of the following:\nPython (FastAPI or Django)\nJava\nNode.js\nTypeScript\nExperience with a modern front-end framework such as React, Vue, or Angular.\nExperience designing or consuming REST and/or GraphQL APIs.\nExperience working with SQL databases and at least one NoSQL data store.\nExperience with Git-based development workflows, unit testing, and integration testing.\nHands-on experience building at least one meaningful AI-based application using an LLM in production or in a substantial production-oriented prototype.\n\nAI Experience We Are Looking For\nCandidates should have practical experience with one or more of the following:\nRetrieval-Augmented Generation (RAG)\nPrompt engineering and prompt templating\nAI-powered search\nSummarization or classification applications\nCopilot-style assistants\nAgentic or multi-step AI workflows\nLangChain, LlamaIndex, or similar orchestration frameworks\nVector databases such as pgvector, Qdrant, or Milvus\nOllama, vLLM, or similar model-serving environments\nEvaluating LLM output for quality, accuracy, and hallucination risk\n\nPlease note: Using ChatGPT or an AI coding assistant to help write code is not, by itself, the type of AI development experience we are seeking. Candidates should be able to discuss an application they have built that actually calls and uses an AI model as part of the product.\n\nAdditional Skills That Are Helpful\nExperience in any of the following areas is beneficial but not required:\nDocker\nGitHub Actions or GitLab CI\nPostman or API testing\nKubernetes fundamentals\nKong API Gateway\nOWASP Top 10 and OWASP LLM Top 10\nHealthcare technology or HL7/FHIR APIs\nGovernment or e-governance applications\nRegulated or sensitive-data environments\nISO/IEC 27001 or ISO/IEC 42001\nCMMI-aligned software development environments\n\nWho Will Be Successful in This Role\nYou may be a strong fit if you:\nThink about the complete application rather than only the AI model or feature.\nHave personally built an AI-enabled application and can explain its architecture, data flow, AI components, and user experience.\nEnjoy solving the practical challenges of LLM applications, including hallucination, latency, evaluation, context limits, and reliability.\nAre comfortable owning an application from initial requirements through development, testing, and release.\nApproach prompt development with the same discipline as software development—testing, versioning, reviewing, and documenting changes.\nCan work with both technical and non-technical stakeholders to turn an idea or business requirement into a practical working application.\nValue secure, well-documented development practices, particularly when working with sensitive or regulated information.\n\nAbout MGRM Pinnacle Inc.\nMGRM Pinnacle Inc. is part of MGRM Group, a multi-domain organization with technology and service initiatives spanning healthcare, education, compliance, e-governance, and related digital platforms.\nOur technology teams develop and support platforms serving complex operational environments where security, reliability, usability, and responsible use of AI are critical.\n\nHow to Apply\nPlease submit your resume along with a brief description of one AI-based application you have built or significantly contributed to.\nIn your response, briefly tell us:\nWhat problem the application solved\nWhat you personally built or were responsible for\nWhat AI model(s), framework(s), or tools you used\nHow the AI functionality was incorporated into the overall application\nWhat you learned from the project or would approach differently today\nA traditional cover letter is not required.\n\nApplications that clearly demonstrate hands-on AI application development experience will receive priority consideration.","datePosted":"2026-09-06T14:28:07.862Z","dateModified":"2026-09-06T14:28:07.862Z","hiringOrganization":{"@type":"Organization","name":"Mgrm","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tempe","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b8ac8d37e560f2a72fb23f18"},"url":"https://jobsearcher.com/jobs/b8ac8d37e560f2a72fb23f18"}}