{"schemaVersion":"jobsearcher.job.v1","id":"3768dd0e392b2bffb55d8f89","url":"https://jobsearcher.com/jobs/3768dd0e392b2bffb55d8f89","canonicalUrl":"https://jobsearcher.com/jobs/3768dd0e392b2bffb55d8f89","title":"Full Stack AI Engineer","description":"About The CompanyFounded in 2010 and headquartered in the Washington, DC metro area, CYNET SYSTEMS is a premier technology staffing and workforce solutions provider dedicated to delivering innovative and scalable talent solutions. Serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada, we specialize in IT, engineering, life sciences, clinical, and professional staffing. Our high-performing recruitment engine operates across North America and Asia, enabling us to connect top-tier professionals with leading organizations. As a certified Minority Business Enterprise (MBE), CYNET SYSTEMS is committed to fostering diversity, inclusion, and excellence. Our organization holds certifications including ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II, reflecting our dedication to quality, security, operational excellence, and customer success.About The RoleWe are seeking a highly skilled Senior Full Stack AI Engineer to join our innovative team. In this role, you will be responsible for designing, developing, and implementing advanced AI solutions that leverage cutting-edge technologies such as Retrieval-Augmented Generation (RAG) frameworks and Large Language Models (LLMs). Your primary focus will be on building intelligent AI agents, integrating them into production environments, and ensuring their scalability and robustness. The ideal candidate will have extensive experience in AI development, particularly within the banking domain, and possess a strong technical background in full-stack development, data orchestration, and AI deployment. This position offers an exciting opportunity to work on transformative projects that push the boundaries of artificial intelligence and contribute to the future of intelligent banking solutions.QualificationsMinimum of 8+ years of experience in Artificial Intelligence and related fields.At least 3+ years of specialized experience working with Retrieval-Augmented Generation (RAG) frameworks.Between 5-7 years of comprehensive experience as a Full Stack AI Engineer.Hands-on expertise with Large Language Models (LLMs), Generative AI, and AI Agent development.Proficiency in programming languages such as Python and experience with Spark for big data processing.Strong knowledge of orchestration frameworks including LangGraph and AgentCore.Demonstrated experience in deploying AI agents into production environments, with a track record of at least two successful projects.Prior experience in the US banking sector is preferred, providing domain-specific insights and understanding.Excellent problem-solving skills, ability to work collaboratively in a team, and strong communication skills.ResponsibilitiesDesign, develop, and implement advanced AI solutions utilizing LLMs, RAG, and agent-based architectures.Build and optimize AI agents capable of performing complex tasks within production environments.Leverage retrieval-augmented generation techniques to enhance the accuracy and relevance of AI responses.Integrate AI models into existing banking systems, ensuring seamless deployment and scalability.Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders to define project requirements and deliver solutions.Develop and maintain data pipelines and orchestration workflows using frameworks such as LangGraph and AgentCore.Conduct performance tuning, troubleshooting, and validation of AI models to ensure high quality and reliability.Stay current with emerging AI technologies and incorporate best practices into development processes.Document technical specifications, architecture designs, and operational procedures for AI solutions.BenefitsOur benefits package is designed to support the health, well-being, and professional growth of our employees. It includes comprehensive medical, dental, and vision insurance plans, ensuring access to quality healthcare. Employees are eligible for a 401(k) retirement plan with company matching to help secure their financial future. We also offer a Health Savings Account (HSA) to promote health and wellness. To support work-life balance, we provide short-term and long-term disability insurance, life and accidental death & dismemberment (AD&D) insurance, and paid sick leave in accordance with applicable state and local laws. Additional benefits include supplemental insurance plans, identity theft protection, pet insurance, employee wellness programs, and an Employee Assistance Program (EAP). We are committed to fostering career growth through ongoing professional development opportunities, training programs, and internal mobility options. Please note that benefit eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. CYNET SYSTEMS reserves the right to modify or terminate benefits plans at any time in accordance with applicable laws.Equal OpportunityCYNET SYSTEMS is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic. We believe in providing equal employment opportunities and fostering a workplace where everyone can thrive and contribute to our collective success.","company":"Taskverse","rawCompany":"taskverse","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-19T11:24:37.860Z","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":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"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":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Full Stack AI Engineer","description":"About The CompanyFounded in 2010 and headquartered in the Washington, DC metro area, CYNET SYSTEMS is a premier technology staffing and workforce solutions provider dedicated to delivering innovative and scalable talent solutions. Serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada, we specialize in IT, engineering, life sciences, clinical, and professional staffing. Our high-performing recruitment engine operates across North America and Asia, enabling us to connect top-tier professionals with leading organizations. As a certified Minority Business Enterprise (MBE), CYNET SYSTEMS is committed to fostering diversity, inclusion, and excellence. Our organization holds certifications including ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II, reflecting our dedication to quality, security, operational excellence, and customer success.About The RoleWe are seeking a highly skilled Senior Full Stack AI Engineer to join our innovative team. In this role, you will be responsible for designing, developing, and implementing advanced AI solutions that leverage cutting-edge technologies such as Retrieval-Augmented Generation (RAG) frameworks and Large Language Models (LLMs). Your primary focus will be on building intelligent AI agents, integrating them into production environments, and ensuring their scalability and robustness. The ideal candidate will have extensive experience in AI development, particularly within the banking domain, and possess a strong technical background in full-stack development, data orchestration, and AI deployment. This position offers an exciting opportunity to work on transformative projects that push the boundaries of artificial intelligence and contribute to the future of intelligent banking solutions.QualificationsMinimum of 8+ years of experience in Artificial Intelligence and related fields.At least 3+ years of specialized experience working with Retrieval-Augmented Generation (RAG) frameworks.Between 5-7 years of comprehensive experience as a Full Stack AI Engineer.Hands-on expertise with Large Language Models (LLMs), Generative AI, and AI Agent development.Proficiency in programming languages such as Python and experience with Spark for big data processing.Strong knowledge of orchestration frameworks including LangGraph and AgentCore.Demonstrated experience in deploying AI agents into production environments, with a track record of at least two successful projects.Prior experience in the US banking sector is preferred, providing domain-specific insights and understanding.Excellent problem-solving skills, ability to work collaboratively in a team, and strong communication skills.ResponsibilitiesDesign, develop, and implement advanced AI solutions utilizing LLMs, RAG, and agent-based architectures.Build and optimize AI agents capable of performing complex tasks within production environments.Leverage retrieval-augmented generation techniques to enhance the accuracy and relevance of AI responses.Integrate AI models into existing banking systems, ensuring seamless deployment and scalability.Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders to define project requirements and deliver solutions.Develop and maintain data pipelines and orchestration workflows using frameworks such as LangGraph and AgentCore.Conduct performance tuning, troubleshooting, and validation of AI models to ensure high quality and reliability.Stay current with emerging AI technologies and incorporate best practices into development processes.Document technical specifications, architecture designs, and operational procedures for AI solutions.BenefitsOur benefits package is designed to support the health, well-being, and professional growth of our employees. It includes comprehensive medical, dental, and vision insurance plans, ensuring access to quality healthcare. Employees are eligible for a 401(k) retirement plan with company matching to help secure their financial future. We also offer a Health Savings Account (HSA) to promote health and wellness. To support work-life balance, we provide short-term and long-term disability insurance, life and accidental death & dismemberment (AD&D) insurance, and paid sick leave in accordance with applicable state and local laws. Additional benefits include supplemental insurance plans, identity theft protection, pet insurance, employee wellness programs, and an Employee Assistance Program (EAP). We are committed to fostering career growth through ongoing professional development opportunities, training programs, and internal mobility options. Please note that benefit eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. CYNET SYSTEMS reserves the right to modify or terminate benefits plans at any time in accordance with applicable laws.Equal OpportunityCYNET SYSTEMS is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic. We believe in providing equal employment opportunities and fostering a workplace where everyone can thrive and contribute to our collective success.","datePosted":"2026-10-19T11:24:37.860Z","dateModified":"2026-10-19T11:24:37.860Z","hiringOrganization":{"@type":"Organization","name":"Taskverse","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3768dd0e392b2bffb55d8f89"},"url":"https://jobsearcher.com/jobs/3768dd0e392b2bffb55d8f89"}}