{"schemaVersion":"jobsearcher.job.v1","id":"8db8af084ff69dc60156af0f","url":"https://jobsearcher.com/jobs/8db8af084ff69dc60156af0f","canonicalUrl":"https://jobsearcher.com/jobs/8db8af084ff69dc60156af0f","title":"Senior AI Platform Engineer / Full Stack Software Engineer","description":"Senior AI Platform Engineer / Full Stack Software Engineer\nLocation: Annapolis Junction, MD\nClearance: TS/SCI with Polygraph required\nWork Type: On-site\nSalary: $190,000-$198,000\nPosition Overview\nWe are seeking an experienced Senior AI Platform Engineer / Full Stack Software Engineer to support the development, deployment, and operation of enterprise AI infrastructure and services. This role will help design and maintain the foundational platform that enables artificial intelligence and machine learning capabilities across the organization.\nThe successful candidate will work on scalable AI services, cloud-native infrastructure, and modern software platforms while supporting the integration of emerging AI technologies into production environments. This position requires strong software engineering, cloud engineering, and platform operations expertise, along with the ability to operate effectively in dynamic and evolving technical environments.\nKey Responsibilities\nDesign, implement, and optimize infrastructure supporting large-scale AI model inference and deployment.\nDevelop, maintain, and support production AI services and applications.\nCollaborate with stakeholders and engineering teams to define solutions for evolving technical requirements.\nDesign and implement scalable, reliable, and maintainable platform components.\nDrive adoption of modern engineering practices, technologies, and automation solutions.\nImplement monitoring, logging, alerting, and observability capabilities for platform services.\nAutomate infrastructure provisioning and configuration using Infrastructure-as-Code (IaC) methodologies.\nEnsure high availability, reliability, scalability, and performance of platform services.\nSupport the integration of AI and machine learning capabilities into enterprise applications.\nContribute to security, compliance, and data protection practices for cloud and AI systems.\nProvide technical guidance and mentorship to junior engineers.\nParticipate in system architecture reviews, deployment planning, and operational support activities.\nRequired Qualifications\nEducation and Experience\nBachelor's degree in Computer Science, Software Engineering, Information Systems, Computer Engineering, or a related technical discipline and eight (8) years of relevant experience; OR\nFour (4) additional years of directly related experience may be substituted for the degree requirement.\nTechnical Qualifications\nDemonstrated experience designing, building, and operating production systems at enterprise scale.\nExperience developing and supporting high-volume web applications and distributed systems.\nStrong understanding of systems integration across diverse technologies, platforms, and services.\nHands-on experience designing, deploying, and managing cloud-based solutions in Amazon Web Services (AWS).\nExperience administering and deploying applications in Kubernetes environments.\nStrong Python programming and software development skills.\nExperience implementing observability and monitoring solutions, including technologies such as:\nOpenTelemetry\nGrafana\nPrometheus\nApplication Performance Monitoring (APM) platforms\nExperience with Continuous Integration and Continuous Deployment (CI/CD) pipelines.\nKnowledge of DevOps principles, automation practices, and modern software delivery methodologies.\nAbility to lead technical initiatives and influence engineering practices across teams.\nStrong communication, collaboration, and stakeholder engagement skills.\nAbility to operate effectively in environments with evolving requirements and emerging technologies.\nPreferred Qualifications\nExperience supporting AI model serving and inference platforms.\nExperience integrating large language models (LLMs) or generative AI capabilities into enterprise applications.\nExperience with AI orchestration and workflow frameworks, including LangChain or similar technologies.\nKnowledge of vector databases, embeddings, and semantic search technologies.\nExperience with Retrieval-Augmented Generation (RAG) architectures.\nExperience with distributed computing, high-performance computing, or large-scale data processing systems.\nFamiliarity with autonomous agent frameworks and emerging AI technologies.\nKnowledge, Skills, and Abilities\nStrong software architecture and platform engineering skills.\nDeep understanding of cloud-native application design and operations.\nAbility to balance reliability, performance, security, and scalability requirements.\nStrong analytical and problem-solving abilities.\nExcellent written and verbal communication skills.\nAbility to mentor and support technical team members.\nStrong organizational skills and attention to detail.\nAbility to drive technical innovation while maintaining operational excellence.\nBenefits\nThis position includes a competitive and flexible benefits package, including:\nMedical\nEmployer pays 100% of the monthly premium for the employee and 80% for the employee’s dependents.\nHealth Savings Account (HSA)\nSave for all medical, dental, vision and prescription expenses by contributing pre-tax money to an HSA account. Employer contributes 50% of the annual deductible (prorated to start date).\nDental and Vision\nEmployer pays 100% of the monthly premium for the employee and 80% for dependents.\nLife Insurance\n100% company-paid Life and Accidental Death & Dismemberment (AD&D) coverage offered to all full-time employees.\nShort-Term Disability\n100% company-paid short-term disability. This benefit pays out 60% of earnings, with a $1,500 maximum for up to 12 weeks.\nRetirement Plan\nAutomatic 6% of salary contributed to the company 401(k) plan, fully vested. Employee match encouraged but not required.\nPaid Time Off (PTO) & Holidays\n5–6 weeks of PTO based on tenure with the company, in addition to 11 paid holidays.\nTuition Reimbursement\n$5,000 annually for courses directly related to job role and responsibilities.\nTraining Reimbursement\nPaid training, certification courses, and conferences to support employee career growth.\nWe do not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.","company":"Staffed4u","rawCompany":"staffed4u","city":"Annapolis Junction","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-07-27T13:25:13.669Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior AI Platform Engineer / Full Stack Software Engineer","description":"Senior AI Platform Engineer / Full Stack Software Engineer\nLocation: Annapolis Junction, MD\nClearance: TS/SCI with Polygraph required\nWork Type: On-site\nSalary: $190,000-$198,000\nPosition Overview\nWe are seeking an experienced Senior AI Platform Engineer / Full Stack Software Engineer to support the development, deployment, and operation of enterprise AI infrastructure and services. This role will help design and maintain the foundational platform that enables artificial intelligence and machine learning capabilities across the organization.\nThe successful candidate will work on scalable AI services, cloud-native infrastructure, and modern software platforms while supporting the integration of emerging AI technologies into production environments. This position requires strong software engineering, cloud engineering, and platform operations expertise, along with the ability to operate effectively in dynamic and evolving technical environments.\nKey Responsibilities\nDesign, implement, and optimize infrastructure supporting large-scale AI model inference and deployment.\nDevelop, maintain, and support production AI services and applications.\nCollaborate with stakeholders and engineering teams to define solutions for evolving technical requirements.\nDesign and implement scalable, reliable, and maintainable platform components.\nDrive adoption of modern engineering practices, technologies, and automation solutions.\nImplement monitoring, logging, alerting, and observability capabilities for platform services.\nAutomate infrastructure provisioning and configuration using Infrastructure-as-Code (IaC) methodologies.\nEnsure high availability, reliability, scalability, and performance of platform services.\nSupport the integration of AI and machine learning capabilities into enterprise applications.\nContribute to security, compliance, and data protection practices for cloud and AI systems.\nProvide technical guidance and mentorship to junior engineers.\nParticipate in system architecture reviews, deployment planning, and operational support activities.\nRequired Qualifications\nEducation and Experience\nBachelor's degree in Computer Science, Software Engineering, Information Systems, Computer Engineering, or a related technical discipline and eight (8) years of relevant experience; OR\nFour (4) additional years of directly related experience may be substituted for the degree requirement.\nTechnical Qualifications\nDemonstrated experience designing, building, and operating production systems at enterprise scale.\nExperience developing and supporting high-volume web applications and distributed systems.\nStrong understanding of systems integration across diverse technologies, platforms, and services.\nHands-on experience designing, deploying, and managing cloud-based solutions in Amazon Web Services (AWS).\nExperience administering and deploying applications in Kubernetes environments.\nStrong Python programming and software development skills.\nExperience implementing observability and monitoring solutions, including technologies such as:\nOpenTelemetry\nGrafana\nPrometheus\nApplication Performance Monitoring (APM) platforms\nExperience with Continuous Integration and Continuous Deployment (CI/CD) pipelines.\nKnowledge of DevOps principles, automation practices, and modern software delivery methodologies.\nAbility to lead technical initiatives and influence engineering practices across teams.\nStrong communication, collaboration, and stakeholder engagement skills.\nAbility to operate effectively in environments with evolving requirements and emerging technologies.\nPreferred Qualifications\nExperience supporting AI model serving and inference platforms.\nExperience integrating large language models (LLMs) or generative AI capabilities into enterprise applications.\nExperience with AI orchestration and workflow frameworks, including LangChain or similar technologies.\nKnowledge of vector databases, embeddings, and semantic search technologies.\nExperience with Retrieval-Augmented Generation (RAG) architectures.\nExperience with distributed computing, high-performance computing, or large-scale data processing systems.\nFamiliarity with autonomous agent frameworks and emerging AI technologies.\nKnowledge, Skills, and Abilities\nStrong software architecture and platform engineering skills.\nDeep understanding of cloud-native application design and operations.\nAbility to balance reliability, performance, security, and scalability requirements.\nStrong analytical and problem-solving abilities.\nExcellent written and verbal communication skills.\nAbility to mentor and support technical team members.\nStrong organizational skills and attention to detail.\nAbility to drive technical innovation while maintaining operational excellence.\nBenefits\nThis position includes a competitive and flexible benefits package, including:\nMedical\nEmployer pays 100% of the monthly premium for the employee and 80% for the employee’s dependents.\nHealth Savings Account (HSA)\nSave for all medical, dental, vision and prescription expenses by contributing pre-tax money to an HSA account. Employer contributes 50% of the annual deductible (prorated to start date).\nDental and Vision\nEmployer pays 100% of the monthly premium for the employee and 80% for dependents.\nLife Insurance\n100% company-paid Life and Accidental Death & Dismemberment (AD&D) coverage offered to all full-time employees.\nShort-Term Disability\n100% company-paid short-term disability. This benefit pays out 60% of earnings, with a $1,500 maximum for up to 12 weeks.\nRetirement Plan\nAutomatic 6% of salary contributed to the company 401(k) plan, fully vested. Employee match encouraged but not required.\nPaid Time Off (PTO) & Holidays\n5–6 weeks of PTO based on tenure with the company, in addition to 11 paid holidays.\nTuition Reimbursement\n$5,000 annually for courses directly related to job role and responsibilities.\nTraining Reimbursement\nPaid training, certification courses, and conferences to support employee career growth.\nWe do not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.","datePosted":"2026-07-27T13:25:13.669Z","dateModified":"2026-07-27T13:25:13.669Z","hiringOrganization":{"@type":"Organization","name":"Staffed4u","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Annapolis Junction","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8db8af084ff69dc60156af0f"},"url":"https://jobsearcher.com/jobs/8db8af084ff69dc60156af0f"}}