{"schemaVersion":"jobsearcher.job.v1","id":"8eff165efa342fde8a1bcdb3","url":"https://jobsearcher.com/jobs/8eff165efa342fde8a1bcdb3","canonicalUrl":"https://jobsearcher.com/jobs/8eff165efa342fde8a1bcdb3","title":"AI Developer / Engineer – Senior Software Developer, AI & Machine Learning","description":"Position Title: AI Developer / Engineer - Senior Software Developer, AI & Machine Learning\r\nClient: Federal Government Programs\r\nLocation: Remote (U.S.)\r\nEmployment Type: Full-Time | Contract\r\nWork Authorization: U.S. Citizenship required. Candidates must be eligible to obtain and maintain a favorably adjudicated Federal Public Trust suitability determination.\r\nJob SummaryWINTrio LLC is seeking an experienced AI Developer / Engineer to design, develop, optimize, integrate, and operationalize Artificial Intelligence and Machine Learning solutions supporting mission-critical Federal programs.\r\nThis position will support the full lifecycle of enterprise AI solutions, including RAG applications, chatbots, predictive models, document processing, fraud detection, data science workloads, and AI-enabled automation. The successful candidate will develop and tune AI/ML models, integrate models into production applications, build CI/CD-enabled deployment processes, and support solutions across Azure, AWS, Google Cloud Platform, Microsoft 365, ServiceNow, and other approved environments.\r\nThe ideal candidate possesses strong AI/ML engineering experience combined with production software development, Python programming, Infrastructure as Code, DevOps, observability, and modern cloud engineering skills.\r\nJob ResponsibilitiesDesign and develop machine learning models, algorithms, and production AI solutions.\r\nImplement, optimize, tune, and improve AI and ML solutions for performance, reliability, scalability, and accuracy.\r\nDevelop supervised and unsupervised machine learning models supporting predictive analytics, anomaly detection, fraud detection, workload forecasting, routing, and optimization.\r\nBuild and support retrieval-augmented generation (RAG) applications, generative AI solutions, and chatbot services.\r\nDevelop AI solutions using Azure OpenAI and comparable other AI services.\r\nSupport predictive modeling using Azure Machine Learning, AWS SageMaker, GCP Vertex AI, or other approved platforms.\r\nDevelop document translation, summarization, and processing solutions using cloud-native AI services.\r\nCollaborate with Data Scientists and Software Engineers to integrate AI and ML models into production applications.\r\nAnalyze large and complex datasets to generate actionable insights.\r\nPerform data preprocessing, feature engineering, model evaluation, and statistical analysis.\r\nDevelop, evaluate, and tune AI models using appropriate algorithms and datasets.\r\nIntegrate trained models with front-end, middleware, API, and back-end application components.\r\nDevelop reusable AI engineering patterns across cloud and SaaS environments.\r\nSupport onboarding and refactoring of externally developed AI applications into enterprise AI environments.\r\nDevelop and maintain CI/CD pipelines supporting AI applications and model deployment.\r\nManage Git-based source code repositories and development workflows.\r\nImplement Infrastructure as Code using Terraform and related tooling.\r\nIntegrate observability, logging, metrics, and monitoring capabilities into AI engineering workflows.\r\nDocument AI/ML models, experiments, configurations, performance metrics, deployment procedures, and operational processes.\r\nSupport security boundary, ATO, data management, access control, and AI governance requirements.\r\nParticipate in Agile sprints, demonstrations, testing, debugging, and production support.\r\nRequired QualificationsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.\r\nFive (5) to ten (10) years of relevant AI, Machine Learning, software engineering, or application development experience.\r\nHands-on experience designing and developing machine learning models and algorithms.\r\nStrong understanding of machine learning principles and modern AI technologies.\r\nExperience implementing, evaluating, tuning, and optimizing AI/ML solutions.\r\nExperience integrating machine learning models into production systems.\r\nExperience analyzing large and complex datasets.\r\nFamiliarity with deep learning frameworks.\r\nStrong proficiency in Python, R, JavaScript, or related programming languages.\r\nExperience with Terraform or comparable Infrastructure as Code technologies.\r\nExpertise managing CI/CD pipelines.\r\nExperience with Git-based code management and version control.\r\nExperience integrating observability tools into AI/ML development and engineering.\r\nStrong analytical, testing, debugging, documentation, and problem-solving skills.\r\nU.S. Citizenship required.\r\nAbility to obtain and maintain favorable Federal Public Trust suitability.\r\nTechnical AreasArtificial Intelligence & Machine Learning\r\nGenerative AI\r\nMachine Learning\r\nDeep Learning\r\nPredictive Modeling\r\nSupervised Learning\r\nUnsupervised Learning\r\nModel Evaluation\r\nModel Tuning\r\nAnomaly Detection\r\nGenerative AI & RAG\r\nRetrieval-Augmented Generation\r\nLarge Language Models\r\nChatbots\r\nVirtual Assistants\r\nPrompt Engineering\r\nSemantic Search\r\nDocument Summarization\r\nData Science\r\nData Preprocessing\r\nFeature Engineering\r\nStatistical Analysis\r\nModel Performance Evaluation\r\nComplex Dataset Analysis\r\nAI Engineering\r\nModel Integration\r\nProduction AI\r\nModel Operationalization\r\nAI Application Onboarding\r\nAI Observability\r\nAI Documentation\r\nTools & PlatformsProgramming\r\nPython\r\nR\r\nJavaScript\r\nAI / ML\r\nDeep Learning Frameworks\r\nAzure OpenAI\r\nAzure Machine Learning\r\nAWS SageMaker\r\nGoogle Vertex AI\r\nInfrastructure & DevOps\r\nTerraform\r\nGit\r\nCI/CD Pipelines\r\nInfrastructure as Code\r\nCloud Platforms\r\nMicrosoft Azure\r\nAWS\r\nGoogle Cloud Platform\r\nEngineering\r\nREST APIs\r\nObservability Tools\r\nTesting Frameworks\r\nLogging & Monitoring\r\nPreferred QualificationsExperience developing enterprise RAG or chatbot applications.\r\nExperience with predictive analytics, fraud detection, document processing, or workload forecasting.\r\nExperience operating AI solutions in production cloud environments.\r\nExperience with Azure AI Foundry or comparable enterprise AI platforms.\r\nExperience onboarding and refactoring externally developed AI applications.\r\nExperience supporting Federal ATO, security, data governance, and access control requirements.\r\nExperience working within Agile and DevSecOps environments.\r\nExperience developing Section 508-compliant user-facing applications.\r\nWork EnvironmentFull-time position.\r\nThe primary place of performance is virtual.\r\nStandard operating hours are generally Monday through Friday, 8:00 AM to 4:30 PM Eastern Time.\r\nOccasional work outside normal business hours may be required based on program needs.\r\nAll work must be performed within the United States.\r\nWINTrio BenefitsHealthcare (Medical, Dental, and Vision)\r\nFlexible Spending Account (FSA) and Health Savings Account (HSA)\r\n401(k) and Retirement Savings Plan\r\nAnnual Bonus and Profit Sharing Opportunities\r\nPaid Time Off (PTO) and Vacation\r\nEmployee Assistance Program (EAP)\r\nLife, Personal, and Voluntary Disability Insurance\r\nGrowth OpportunitiesThis position provides opportunities to work on enterprise Generative AI, RAG, machine learning, predictive analytics, AI engineering, cloud platforms, DevSecOps, and mission-critical Federal AI initiatives. WINTrio is an employee-driven company where technical innovation, collaboration, and continuous professional growth are fundamental to our success.\r\nEqual Opportunity EmployerWINTrio LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.#J-18808-Ljbffr","company":"Wintrio","rawCompany":"wintrio","city":"Brooklyn","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-10-04T02:04:21.504Z","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":"15-1251.00","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":"AI Developer / Engineer – Senior Software Developer, AI & Machine Learning","description":"Position Title: AI Developer / Engineer - Senior Software Developer, AI & Machine Learning\r\nClient: Federal Government Programs\r\nLocation: Remote (U.S.)\r\nEmployment Type: Full-Time | Contract\r\nWork Authorization: U.S. Citizenship required. Candidates must be eligible to obtain and maintain a favorably adjudicated Federal Public Trust suitability determination.\r\nJob SummaryWINTrio LLC is seeking an experienced AI Developer / Engineer to design, develop, optimize, integrate, and operationalize Artificial Intelligence and Machine Learning solutions supporting mission-critical Federal programs.\r\nThis position will support the full lifecycle of enterprise AI solutions, including RAG applications, chatbots, predictive models, document processing, fraud detection, data science workloads, and AI-enabled automation. The successful candidate will develop and tune AI/ML models, integrate models into production applications, build CI/CD-enabled deployment processes, and support solutions across Azure, AWS, Google Cloud Platform, Microsoft 365, ServiceNow, and other approved environments.\r\nThe ideal candidate possesses strong AI/ML engineering experience combined with production software development, Python programming, Infrastructure as Code, DevOps, observability, and modern cloud engineering skills.\r\nJob ResponsibilitiesDesign and develop machine learning models, algorithms, and production AI solutions.\r\nImplement, optimize, tune, and improve AI and ML solutions for performance, reliability, scalability, and accuracy.\r\nDevelop supervised and unsupervised machine learning models supporting predictive analytics, anomaly detection, fraud detection, workload forecasting, routing, and optimization.\r\nBuild and support retrieval-augmented generation (RAG) applications, generative AI solutions, and chatbot services.\r\nDevelop AI solutions using Azure OpenAI and comparable other AI services.\r\nSupport predictive modeling using Azure Machine Learning, AWS SageMaker, GCP Vertex AI, or other approved platforms.\r\nDevelop document translation, summarization, and processing solutions using cloud-native AI services.\r\nCollaborate with Data Scientists and Software Engineers to integrate AI and ML models into production applications.\r\nAnalyze large and complex datasets to generate actionable insights.\r\nPerform data preprocessing, feature engineering, model evaluation, and statistical analysis.\r\nDevelop, evaluate, and tune AI models using appropriate algorithms and datasets.\r\nIntegrate trained models with front-end, middleware, API, and back-end application components.\r\nDevelop reusable AI engineering patterns across cloud and SaaS environments.\r\nSupport onboarding and refactoring of externally developed AI applications into enterprise AI environments.\r\nDevelop and maintain CI/CD pipelines supporting AI applications and model deployment.\r\nManage Git-based source code repositories and development workflows.\r\nImplement Infrastructure as Code using Terraform and related tooling.\r\nIntegrate observability, logging, metrics, and monitoring capabilities into AI engineering workflows.\r\nDocument AI/ML models, experiments, configurations, performance metrics, deployment procedures, and operational processes.\r\nSupport security boundary, ATO, data management, access control, and AI governance requirements.\r\nParticipate in Agile sprints, demonstrations, testing, debugging, and production support.\r\nRequired QualificationsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.\r\nFive (5) to ten (10) years of relevant AI, Machine Learning, software engineering, or application development experience.\r\nHands-on experience designing and developing machine learning models and algorithms.\r\nStrong understanding of machine learning principles and modern AI technologies.\r\nExperience implementing, evaluating, tuning, and optimizing AI/ML solutions.\r\nExperience integrating machine learning models into production systems.\r\nExperience analyzing large and complex datasets.\r\nFamiliarity with deep learning frameworks.\r\nStrong proficiency in Python, R, JavaScript, or related programming languages.\r\nExperience with Terraform or comparable Infrastructure as Code technologies.\r\nExpertise managing CI/CD pipelines.\r\nExperience with Git-based code management and version control.\r\nExperience integrating observability tools into AI/ML development and engineering.\r\nStrong analytical, testing, debugging, documentation, and problem-solving skills.\r\nU.S. Citizenship required.\r\nAbility to obtain and maintain favorable Federal Public Trust suitability.\r\nTechnical AreasArtificial Intelligence & Machine Learning\r\nGenerative AI\r\nMachine Learning\r\nDeep Learning\r\nPredictive Modeling\r\nSupervised Learning\r\nUnsupervised Learning\r\nModel Evaluation\r\nModel Tuning\r\nAnomaly Detection\r\nGenerative AI & RAG\r\nRetrieval-Augmented Generation\r\nLarge Language Models\r\nChatbots\r\nVirtual Assistants\r\nPrompt Engineering\r\nSemantic Search\r\nDocument Summarization\r\nData Science\r\nData Preprocessing\r\nFeature Engineering\r\nStatistical Analysis\r\nModel Performance Evaluation\r\nComplex Dataset Analysis\r\nAI Engineering\r\nModel Integration\r\nProduction AI\r\nModel Operationalization\r\nAI Application Onboarding\r\nAI Observability\r\nAI Documentation\r\nTools & PlatformsProgramming\r\nPython\r\nR\r\nJavaScript\r\nAI / ML\r\nDeep Learning Frameworks\r\nAzure OpenAI\r\nAzure Machine Learning\r\nAWS SageMaker\r\nGoogle Vertex AI\r\nInfrastructure & DevOps\r\nTerraform\r\nGit\r\nCI/CD Pipelines\r\nInfrastructure as Code\r\nCloud Platforms\r\nMicrosoft Azure\r\nAWS\r\nGoogle Cloud Platform\r\nEngineering\r\nREST APIs\r\nObservability Tools\r\nTesting Frameworks\r\nLogging & Monitoring\r\nPreferred QualificationsExperience developing enterprise RAG or chatbot applications.\r\nExperience with predictive analytics, fraud detection, document processing, or workload forecasting.\r\nExperience operating AI solutions in production cloud environments.\r\nExperience with Azure AI Foundry or comparable enterprise AI platforms.\r\nExperience onboarding and refactoring externally developed AI applications.\r\nExperience supporting Federal ATO, security, data governance, and access control requirements.\r\nExperience working within Agile and DevSecOps environments.\r\nExperience developing Section 508-compliant user-facing applications.\r\nWork EnvironmentFull-time position.\r\nThe primary place of performance is virtual.\r\nStandard operating hours are generally Monday through Friday, 8:00 AM to 4:30 PM Eastern Time.\r\nOccasional work outside normal business hours may be required based on program needs.\r\nAll work must be performed within the United States.\r\nWINTrio BenefitsHealthcare (Medical, Dental, and Vision)\r\nFlexible Spending Account (FSA) and Health Savings Account (HSA)\r\n401(k) and Retirement Savings Plan\r\nAnnual Bonus and Profit Sharing Opportunities\r\nPaid Time Off (PTO) and Vacation\r\nEmployee Assistance Program (EAP)\r\nLife, Personal, and Voluntary Disability Insurance\r\nGrowth OpportunitiesThis position provides opportunities to work on enterprise Generative AI, RAG, machine learning, predictive analytics, AI engineering, cloud platforms, DevSecOps, and mission-critical Federal AI initiatives. WINTrio is an employee-driven company where technical innovation, collaboration, and continuous professional growth are fundamental to our success.\r\nEqual Opportunity EmployerWINTrio LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.#J-18808-Ljbffr","datePosted":"2026-10-04T02:04:21.504Z","dateModified":"2026-10-04T02:04:21.504Z","hiringOrganization":{"@type":"Organization","name":"Wintrio","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8eff165efa342fde8a1bcdb3"},"url":"https://jobsearcher.com/jobs/8eff165efa342fde8a1bcdb3"}}