{"schemaVersion":"jobsearcher.job.v1","id":"0db82f25df32bcf2c6641477","url":"https://jobsearcher.com/jobs/0db82f25df32bcf2c6641477","canonicalUrl":"https://jobsearcher.com/jobs/0db82f25df32bcf2c6641477","title":"Full Stack Developer AI Enabled Applications","description":"Permanent W-2 Employee / Corp2Corp Contractor | Omm IT Solutions | United States\r\nPosted On 06/09/2026\r\nJob Information\r\nStart Date 06/11/2026 12:00 AM\r\nCompensation Negotiable\r\nIT Services\r\nWork Authorization No Visa Sponsorship Provided. Green Card EAD can also apply\r\nBackground Check/Public Trust Clearance US Public Trust Clearance\r\nJob Opening ID Omm2948J\r\nState/Province Maryland\r\nCity Woodlawn\r\n21041\r\nJob Description\r\nPLEASE NOTE\r\nIt is a 100% onsite position.\r\nSelected candidate must be willing to work on-site in Woodlawn, MD 5 days a week.\r\nSelected candidate must be able to obtain and maintain a public trust clearance.\r\nKEY REQUIRED SKILLS\r\nThis role will play a critical role in implementing a proof of concept in the production environment and will needs to be a hands-on developer.\r\nThe ideal candidate is passionate about understanding and experimenting with AI technologies that benefit society while minimizing risks.\r\nPOSITION DESCRIPTION\r\nCollaborate with stakeholders to understand and refine customer-provided use cases for Generative AI solutions.\r\nDesign, develop, and implement end-to-end Proofs of Concept (PoCs) using Azure AI and AWS Bedrock platforms.\r\nBuild and maintain scalable, secure, and robust web applications, integrating Generative AI models and APIs.\r\nDevelop both front-end and back-end components, ensuring seamless user experience and efficient data processing.\r\nRapidly prototype and iterate on application features based on feedback and evolving requirements.\r\nIntegrate cloud services and manage deployment pipelines for PoC applications.\r\nDocument technical designs, development processes, and application architecture for knowledge sharing and future reference.\r\nCollaborate with cross-functional teams, including data scientists, UI/UX designers, and project managers, to deliver high-quality solutions.\r\nConduct code reviews, testing, and debugging to ensure application reliability and performance.\r\nStay current with emerging technologies and best practices in Generative AI and full stack development.\r\nRequirements\r\nSKILL REQUIREMENTS\r\nBASIC QUALIFICATIONS\r\nMaster's and 5+ years of experience, Bachelor's and 7+ years of experience or 13+ years in lieu of a degree\r\n5+ years of experience in full stack development, including both front-end and back-end technologies.\r\n3+ years of experience in Python development. You should be comfortable writing clean, efficient code.\r\nHands-on experience developing applications using cloud platforms such as Microsoft Azure and/or Amazon Web Services.\r\nFamiliarity with Generative AI concepts and experience integrating AI/ML models or APIs into applications.\r\nExperience with RESTful APIs, microservices architecture, and containerization (e.g., OpenShift or Docker).\r\nStrong understanding of software development best practices, version control (e.g., Bitbucket), and agile methodologies.\r\nExcellent problem-solving skills and ability to work collaboratively in a team environment.\r\nClear and effective communication skills are necessary for collaborating with team members, presenting findings, and explaining complex AI concepts to non-technical stakeholders.\r\nREQUIRED SKILLS\r\nProficiency in utilizing Microsoft Azure services, with a focus on AI and ML services such as Azure OpenAI, Azure AI Search, and Azure Vision.\r\nUnderstanding of fundamental AI and RAG concepts for developing generative AI applications.\r\nCommitment to ethical AI development, ensuring adherence to principles like fairness, transparency, accountability, and privacy in AI applications.\r\nProficient in Python and familiar with current best practices and recent language features.\r\nExperience with Python web frameworks for building APIs and backend services.\r\nStrong experience in implementing and consuming RESTful web services.\r\nSolid experience with software development best practices, including unit testing, continuous integration with tools like Jenkins, and version control with Bitbucket.\r\nExperience with containerization and orchestration tools like Docker and OpenShift will be beneficial for deployment and scaling applications.\r\nFamiliarity with Azure DevOps for automating builds, testing, and deployment processes within Azure.\r\nUnderstanding of compliance and security best practices within Azure, especially concerning handling sensitive data such as personal disability information.\r\nDESIRED SKILLS\r\nFamiliarity with the Azure OpenAI API and its capabilities for natural language processing (NLP) and generative modeling is highly desirable.\r\nMastery of Azure AI services beyond the basics, including Azure Machine Learning, Azure Cognitive Services, Azure Databricks, and Azure Synapse Analytics, would make you a valuable asset. This includes understanding how to leverage these services in combination with Azure OpenAI frameworks for enhanced functionality and scalability.\r\nAbility to preprocess, clean, and manipulate data for RAG ingestion.\r\nHands-on experience deploying generative AI models into production environments on Azure infrastructure is highly desirable. Understanding deployment considerations such as containerization, orchestration, monitoring, and security ensures smooth integration of AI solutions into real-world applications.\r\nProficiency in C# and Java.\r\nDelivery (CI/CD) best practices and use of DevOps to accelerate quality releases to Production.\r\nFamiliarity with data science tools, libraries, and frameworks (e.g., Jupyter Labs/Notebooks, pandas, PyTorch) is a strong plus.\r\nAwareness of issues and trends in Generative AI and Pythonic use of these is desirable.\r\nEducation/Work Experience\r\nMaster's and 5+ years of experience, Bachelor's and 7+ years of experience or 13+ years in lieu of a degree\r\nJ-18808-Ljbffr","company":"Omm It Solutions","rawCompany":"omm it solutions","city":"Riverdale","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-07-16T01:42:02.915Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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":"Full Stack Developer AI Enabled Applications","description":"Permanent W-2 Employee / Corp2Corp Contractor | Omm IT Solutions | United States\r\nPosted On 06/09/2026\r\nJob Information\r\nStart Date 06/11/2026 12:00 AM\r\nCompensation Negotiable\r\nIT Services\r\nWork Authorization No Visa Sponsorship Provided. Green Card EAD can also apply\r\nBackground Check/Public Trust Clearance US Public Trust Clearance\r\nJob Opening ID Omm2948J\r\nState/Province Maryland\r\nCity Woodlawn\r\n21041\r\nJob Description\r\nPLEASE NOTE\r\nIt is a 100% onsite position.\r\nSelected candidate must be willing to work on-site in Woodlawn, MD 5 days a week.\r\nSelected candidate must be able to obtain and maintain a public trust clearance.\r\nKEY REQUIRED SKILLS\r\nThis role will play a critical role in implementing a proof of concept in the production environment and will needs to be a hands-on developer.\r\nThe ideal candidate is passionate about understanding and experimenting with AI technologies that benefit society while minimizing risks.\r\nPOSITION DESCRIPTION\r\nCollaborate with stakeholders to understand and refine customer-provided use cases for Generative AI solutions.\r\nDesign, develop, and implement end-to-end Proofs of Concept (PoCs) using Azure AI and AWS Bedrock platforms.\r\nBuild and maintain scalable, secure, and robust web applications, integrating Generative AI models and APIs.\r\nDevelop both front-end and back-end components, ensuring seamless user experience and efficient data processing.\r\nRapidly prototype and iterate on application features based on feedback and evolving requirements.\r\nIntegrate cloud services and manage deployment pipelines for PoC applications.\r\nDocument technical designs, development processes, and application architecture for knowledge sharing and future reference.\r\nCollaborate with cross-functional teams, including data scientists, UI/UX designers, and project managers, to deliver high-quality solutions.\r\nConduct code reviews, testing, and debugging to ensure application reliability and performance.\r\nStay current with emerging technologies and best practices in Generative AI and full stack development.\r\nRequirements\r\nSKILL REQUIREMENTS\r\nBASIC QUALIFICATIONS\r\nMaster's and 5+ years of experience, Bachelor's and 7+ years of experience or 13+ years in lieu of a degree\r\n5+ years of experience in full stack development, including both front-end and back-end technologies.\r\n3+ years of experience in Python development. You should be comfortable writing clean, efficient code.\r\nHands-on experience developing applications using cloud platforms such as Microsoft Azure and/or Amazon Web Services.\r\nFamiliarity with Generative AI concepts and experience integrating AI/ML models or APIs into applications.\r\nExperience with RESTful APIs, microservices architecture, and containerization (e.g., OpenShift or Docker).\r\nStrong understanding of software development best practices, version control (e.g., Bitbucket), and agile methodologies.\r\nExcellent problem-solving skills and ability to work collaboratively in a team environment.\r\nClear and effective communication skills are necessary for collaborating with team members, presenting findings, and explaining complex AI concepts to non-technical stakeholders.\r\nREQUIRED SKILLS\r\nProficiency in utilizing Microsoft Azure services, with a focus on AI and ML services such as Azure OpenAI, Azure AI Search, and Azure Vision.\r\nUnderstanding of fundamental AI and RAG concepts for developing generative AI applications.\r\nCommitment to ethical AI development, ensuring adherence to principles like fairness, transparency, accountability, and privacy in AI applications.\r\nProficient in Python and familiar with current best practices and recent language features.\r\nExperience with Python web frameworks for building APIs and backend services.\r\nStrong experience in implementing and consuming RESTful web services.\r\nSolid experience with software development best practices, including unit testing, continuous integration with tools like Jenkins, and version control with Bitbucket.\r\nExperience with containerization and orchestration tools like Docker and OpenShift will be beneficial for deployment and scaling applications.\r\nFamiliarity with Azure DevOps for automating builds, testing, and deployment processes within Azure.\r\nUnderstanding of compliance and security best practices within Azure, especially concerning handling sensitive data such as personal disability information.\r\nDESIRED SKILLS\r\nFamiliarity with the Azure OpenAI API and its capabilities for natural language processing (NLP) and generative modeling is highly desirable.\r\nMastery of Azure AI services beyond the basics, including Azure Machine Learning, Azure Cognitive Services, Azure Databricks, and Azure Synapse Analytics, would make you a valuable asset. This includes understanding how to leverage these services in combination with Azure OpenAI frameworks for enhanced functionality and scalability.\r\nAbility to preprocess, clean, and manipulate data for RAG ingestion.\r\nHands-on experience deploying generative AI models into production environments on Azure infrastructure is highly desirable. Understanding deployment considerations such as containerization, orchestration, monitoring, and security ensures smooth integration of AI solutions into real-world applications.\r\nProficiency in C# and Java.\r\nDelivery (CI/CD) best practices and use of DevOps to accelerate quality releases to Production.\r\nFamiliarity with data science tools, libraries, and frameworks (e.g., Jupyter Labs/Notebooks, pandas, PyTorch) is a strong plus.\r\nAwareness of issues and trends in Generative AI and Pythonic use of these is desirable.\r\nEducation/Work Experience\r\nMaster's and 5+ years of experience, Bachelor's and 7+ years of experience or 13+ years in lieu of a degree\r\nJ-18808-Ljbffr","datePosted":"2026-07-16T01:42:02.915Z","dateModified":"2026-07-16T01:42:02.915Z","hiringOrganization":{"@type":"Organization","name":"Omm It Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Riverdale","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0db82f25df32bcf2c6641477"},"url":"https://jobsearcher.com/jobs/0db82f25df32bcf2c6641477"}}