{"schemaVersion":"jobsearcher.job.v1","id":"6d18d55640691b00b5b4afbc","url":"https://jobsearcher.com/jobs/6d18d55640691b00b5b4afbc","canonicalUrl":"https://jobsearcher.com/jobs/6d18d55640691b00b5b4afbc","title":"Full Stack Developer, Associate","description":"Job title: Full Stack Developer, Associate\r\nLocation: Bethesda, MD\r\nClearance: Public Trust\r\nSponsorship: No sponsorship assistance is available for this position.\r\nDuration: 7 Months (May 2026 - December 2026)\r\nHybrid: Minimum of 2 Days Onsite (May increase as Client needs may increase)\r\nJob Overview\r\nLCG is seeking a Full Stack Developer / AI Engineer - Associate to support our NIH client in developing innovative AI-powered solutions using Azure OpenAI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern full stack technologies.\r\nThis role will support an NIH client that aims to design and implement AI-driven applications that automate and enhance internal NIH business processes. The developer will design and build Generative AI applications, chatbots, and intelligent automation tools to support use cases such as compliance review, policy analysis, meeting scheduling, grant monitoring, and research reporting.\r\nThe successful candidate will support configuration and assist with optimizing secure Azure OpenAI cloud infrastructure, design LLM-integrated applications using Python-based APIs, and enhance the existing client AI Chat Tool to improve knowledge retrieval and operational efficiency. The role involves building React-based front-end interfaces, developing FastAPI services for AI integration, and implementing vector databases to support semantic search and RAG pipelines.\r\nThis role will work closely with client leadership, technical teams, and pilot users to prototype, deploy, and refine AI capabilities while ensuring alignment with federal IT security, governance, and change management processes.\r\nThis position offers an opportunity to contribute to cutting-edge AI modernization initiatives at NIH, helping federal programs leverage Generative AI technologies to improve efficiency, decision-making, and operational insights.\r\nKey Responsibilities\r\nAI Solutions Development\r\nDevelop and implement AI-powered applications using Azure OpenAI, LLM technologies, Retrieval-Augmented Generation (RAG) pipelines, and vector database architectures\r\nDesign and build Generative AI applications, intelligent agents, and chatbot solutions that automate internal business processes and support staff workflows.\r\nImplement semantic search and document retrieval systems using vector databases to support AI-driven knowledge retrieval.\r\nEnhance and maintain the existing client AI Chat Tool, improving user experience and response accuracy through AI technologies.\r\nDevelop intelligent Generative AI applications supporting use cases such as\r\nCompliance verification for new policies and funding opportunities\r\nPolicy and regulatory change analysis\r\nAI-driven meeting scheduling and coordination\r\nMonitoring of grant and clinical trial activities\r\nKnowledge retrieval from internal documentation and SOP repositories\r\nCloud Engineering and AI Infrastructure\r\nSupport the configuration and enhancement of secure Azure cloud infrastructure used to host AI applications and services, including:\r\nAzure OpenAI services\r\nAzure Storage accounts\r\nAzure Applications and Database services\r\nAssist cloud and infrastructure teams with deploying AI-powered applications that leverage vector databases and RAG architectures.\r\nWork within the existing Azure OpenAI environment to integrate AI services and ensure applications function effectively within the client's cloud infrastructure.\r\nCollaborate with cloud engineering and security teams to ensure AI solutions align with NIH cloud governance, security policies, and infrastructure standards.\r\nAssist with documenting AI solution architecture and implementation components.\r\nFull Stack Development and Integration\r\nDevelop full stack AI applications using React for front-end interfaces and Python-based APIs for backend services.\r\nBuild RESTful APIs and AI service endpoints using FastAPI to connect LLM services with enterprise applications.\r\nSupport development of RAG pipeline components integrating vector databases with enterprise data sources.\r\nAssist in developing LLM-integrated applications and APIs that connect AI services with enterprise systems.\r\nImplement data pipelines and integrations using SQL, NoSQL, and vector databases as well as external APIs.\r\nDevelop backend and automation services using Python, FastAPI, and modern API frameworks.\r\nUtilize GitHub for version control, code collaboration, and maintaining source code repositories across development environments.\r\nAI Use Case Development and Pilot Implementation\r\nCollaborate with stakeholders to define, prototype, test, and deploy AI use cases.\r\nWork with client staff to assess automation opportunities and evaluate operational efficiency improvements.\r\nSupport analysis of automation opportunities and document potential efficiency improvements.\r\nAssist with analyzing and documenting cloud resource usage and cost considerations for AI deployments.\r\nLeverage Microsoft Power Automate to support workflow automation and integrate AI-powered processes into existing business applications.\r\nUtilize Power BI to develop dashboards and reports that visualize application performance, usage metrics, operational insights for stakeholders.\r\nPrepare and complete status reports, providing updates on development progress, milestones, risks, and pilot outcomes to client leadership and stakeholders.\r\nTesting, Documentation, and Testing\r\nConduct User Acceptance Testing (UAT) with pilot users and incorporate feedback into system improvements.\r\nDevelop technical documentation, including:\r\nRequirements documentation\r\nArchitecture and design documents\r\nTesting plans and implementation strategies\r\nStandard operating procedures (SOPs)\r\nCreate a fact sheet for Generative AI applications developed, summarizing functionality, key features, use cases, and benefits for stakeholders and end users.\r\nDevelop training materials and recorded training sessions to support user adoption.\r\nQualifications\r\nEducation - Bachelor's degree from an accredited institution in related fields (Computer Science, Information Technology, Engineering, Mathematics, Data Science, Artificial Intelligence, etc)\r\nExperience\r\nRequired\r\nMinimum 2 years of experience applying AI or machine learning to real-world technology solutions.\r\nMinimum 2 years of experience working with Microsoft Azure Cloud and Azure OpenAI services.\r\nExperience designing and implementing AI-powered applications using LLMs or Generative AI technologies.\r\nExperience developing RAG pipelines, AI chatbots, or intelligent automation tools.\r\nStrong programming skills in Python, with experience developing APIs using FastAPI or similar frameworks.\r\nExperience building modern front-end interfaces using React or similar JavaScript frameworks.\r\nExperience working with vector databases to support semantic search or AI retrieval workflows.\r\nExperience with data engineering technologies including SQL, NoSQL, and API integrations.\r\nExperience using GitHub for source code management, version control, pull requests, and collaborative development workflows.\r\nPreferred\r\nExperience integrating LLM-based systems with enterprise applications and APIs.\r\nExperience supporting federal IT environments (NIH or HHS preferred) (nice to have)\r\nExperience implementing secure AI architectures in cloud environments.\r\nCertifications (Preferred)\r\nMicrosoft Azure AI Engineer Associate\r\nMicrosoft Azure Developer Associate\r\nMicrosoft Azure Fundamentals (AZ-900)\r\nITIL 4\r\nAI / Machine Learning certification\r\nCloud architecture or DevOps certification\r\nRequired Skills and Competencies\r\nStrong analytical thinking and problem-solving abilities\r\nAbility to translate complex technical concepts to non-technical stakeholders\r\nExcellent written and verbal communication skills\r\nAbility to manage multiple priorities in a fast-paced environment\r\nHigh attention to detail and commitment to quality\r\nWork independently, self-motivated, proactive, and highly organized\r\nCompensation and Benefits\r\nThe projected compensation range for this position is $90,000 to $110,000 per year benchmarked in the Washington, D.C. metropolitan area. The salary range provided is a good faith estimate representative of all experience levels. Salary at LCG is determined by various factors, including but not limited to role, location, the combination of education/training, knowledge, skills, competencies, certifications, and work experience.\r\nLCG offers a competitive, comprehensive benefits package that includes health insurance options (medical, dental, vision), life and disability insurance, retirement plan contributions, as well as paid leave, federal holidays, professional development, and lifestyle benefits.\r\nDevoted to Fair and Inclusive Practices\r\nAll qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.\r\nJ-18808-Ljbffr","company":"Lcg","rawCompany":"lcg","city":"Hyattsville","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-07-04T02:46:33.795Z","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":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Full Stack Developer, Associate","description":"Job title: Full Stack Developer, Associate\r\nLocation: Bethesda, MD\r\nClearance: Public Trust\r\nSponsorship: No sponsorship assistance is available for this position.\r\nDuration: 7 Months (May 2026 - December 2026)\r\nHybrid: Minimum of 2 Days Onsite (May increase as Client needs may increase)\r\nJob Overview\r\nLCG is seeking a Full Stack Developer / AI Engineer - Associate to support our NIH client in developing innovative AI-powered solutions using Azure OpenAI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern full stack technologies.\r\nThis role will support an NIH client that aims to design and implement AI-driven applications that automate and enhance internal NIH business processes. The developer will design and build Generative AI applications, chatbots, and intelligent automation tools to support use cases such as compliance review, policy analysis, meeting scheduling, grant monitoring, and research reporting.\r\nThe successful candidate will support configuration and assist with optimizing secure Azure OpenAI cloud infrastructure, design LLM-integrated applications using Python-based APIs, and enhance the existing client AI Chat Tool to improve knowledge retrieval and operational efficiency. The role involves building React-based front-end interfaces, developing FastAPI services for AI integration, and implementing vector databases to support semantic search and RAG pipelines.\r\nThis role will work closely with client leadership, technical teams, and pilot users to prototype, deploy, and refine AI capabilities while ensuring alignment with federal IT security, governance, and change management processes.\r\nThis position offers an opportunity to contribute to cutting-edge AI modernization initiatives at NIH, helping federal programs leverage Generative AI technologies to improve efficiency, decision-making, and operational insights.\r\nKey Responsibilities\r\nAI Solutions Development\r\nDevelop and implement AI-powered applications using Azure OpenAI, LLM technologies, Retrieval-Augmented Generation (RAG) pipelines, and vector database architectures\r\nDesign and build Generative AI applications, intelligent agents, and chatbot solutions that automate internal business processes and support staff workflows.\r\nImplement semantic search and document retrieval systems using vector databases to support AI-driven knowledge retrieval.\r\nEnhance and maintain the existing client AI Chat Tool, improving user experience and response accuracy through AI technologies.\r\nDevelop intelligent Generative AI applications supporting use cases such as\r\nCompliance verification for new policies and funding opportunities\r\nPolicy and regulatory change analysis\r\nAI-driven meeting scheduling and coordination\r\nMonitoring of grant and clinical trial activities\r\nKnowledge retrieval from internal documentation and SOP repositories\r\nCloud Engineering and AI Infrastructure\r\nSupport the configuration and enhancement of secure Azure cloud infrastructure used to host AI applications and services, including:\r\nAzure OpenAI services\r\nAzure Storage accounts\r\nAzure Applications and Database services\r\nAssist cloud and infrastructure teams with deploying AI-powered applications that leverage vector databases and RAG architectures.\r\nWork within the existing Azure OpenAI environment to integrate AI services and ensure applications function effectively within the client's cloud infrastructure.\r\nCollaborate with cloud engineering and security teams to ensure AI solutions align with NIH cloud governance, security policies, and infrastructure standards.\r\nAssist with documenting AI solution architecture and implementation components.\r\nFull Stack Development and Integration\r\nDevelop full stack AI applications using React for front-end interfaces and Python-based APIs for backend services.\r\nBuild RESTful APIs and AI service endpoints using FastAPI to connect LLM services with enterprise applications.\r\nSupport development of RAG pipeline components integrating vector databases with enterprise data sources.\r\nAssist in developing LLM-integrated applications and APIs that connect AI services with enterprise systems.\r\nImplement data pipelines and integrations using SQL, NoSQL, and vector databases as well as external APIs.\r\nDevelop backend and automation services using Python, FastAPI, and modern API frameworks.\r\nUtilize GitHub for version control, code collaboration, and maintaining source code repositories across development environments.\r\nAI Use Case Development and Pilot Implementation\r\nCollaborate with stakeholders to define, prototype, test, and deploy AI use cases.\r\nWork with client staff to assess automation opportunities and evaluate operational efficiency improvements.\r\nSupport analysis of automation opportunities and document potential efficiency improvements.\r\nAssist with analyzing and documenting cloud resource usage and cost considerations for AI deployments.\r\nLeverage Microsoft Power Automate to support workflow automation and integrate AI-powered processes into existing business applications.\r\nUtilize Power BI to develop dashboards and reports that visualize application performance, usage metrics, operational insights for stakeholders.\r\nPrepare and complete status reports, providing updates on development progress, milestones, risks, and pilot outcomes to client leadership and stakeholders.\r\nTesting, Documentation, and Testing\r\nConduct User Acceptance Testing (UAT) with pilot users and incorporate feedback into system improvements.\r\nDevelop technical documentation, including:\r\nRequirements documentation\r\nArchitecture and design documents\r\nTesting plans and implementation strategies\r\nStandard operating procedures (SOPs)\r\nCreate a fact sheet for Generative AI applications developed, summarizing functionality, key features, use cases, and benefits for stakeholders and end users.\r\nDevelop training materials and recorded training sessions to support user adoption.\r\nQualifications\r\nEducation - Bachelor's degree from an accredited institution in related fields (Computer Science, Information Technology, Engineering, Mathematics, Data Science, Artificial Intelligence, etc)\r\nExperience\r\nRequired\r\nMinimum 2 years of experience applying AI or machine learning to real-world technology solutions.\r\nMinimum 2 years of experience working with Microsoft Azure Cloud and Azure OpenAI services.\r\nExperience designing and implementing AI-powered applications using LLMs or Generative AI technologies.\r\nExperience developing RAG pipelines, AI chatbots, or intelligent automation tools.\r\nStrong programming skills in Python, with experience developing APIs using FastAPI or similar frameworks.\r\nExperience building modern front-end interfaces using React or similar JavaScript frameworks.\r\nExperience working with vector databases to support semantic search or AI retrieval workflows.\r\nExperience with data engineering technologies including SQL, NoSQL, and API integrations.\r\nExperience using GitHub for source code management, version control, pull requests, and collaborative development workflows.\r\nPreferred\r\nExperience integrating LLM-based systems with enterprise applications and APIs.\r\nExperience supporting federal IT environments (NIH or HHS preferred) (nice to have)\r\nExperience implementing secure AI architectures in cloud environments.\r\nCertifications (Preferred)\r\nMicrosoft Azure AI Engineer Associate\r\nMicrosoft Azure Developer Associate\r\nMicrosoft Azure Fundamentals (AZ-900)\r\nITIL 4\r\nAI / Machine Learning certification\r\nCloud architecture or DevOps certification\r\nRequired Skills and Competencies\r\nStrong analytical thinking and problem-solving abilities\r\nAbility to translate complex technical concepts to non-technical stakeholders\r\nExcellent written and verbal communication skills\r\nAbility to manage multiple priorities in a fast-paced environment\r\nHigh attention to detail and commitment to quality\r\nWork independently, self-motivated, proactive, and highly organized\r\nCompensation and Benefits\r\nThe projected compensation range for this position is $90,000 to $110,000 per year benchmarked in the Washington, D.C. metropolitan area. The salary range provided is a good faith estimate representative of all experience levels. Salary at LCG is determined by various factors, including but not limited to role, location, the combination of education/training, knowledge, skills, competencies, certifications, and work experience.\r\nLCG offers a competitive, comprehensive benefits package that includes health insurance options (medical, dental, vision), life and disability insurance, retirement plan contributions, as well as paid leave, federal holidays, professional development, and lifestyle benefits.\r\nDevoted to Fair and Inclusive Practices\r\nAll qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.\r\nJ-18808-Ljbffr","datePosted":"2026-07-04T02:46:33.795Z","dateModified":"2026-07-04T02:46:33.795Z","hiringOrganization":{"@type":"Organization","name":"Lcg","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyattsville","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6d18d55640691b00b5b4afbc"},"url":"https://jobsearcher.com/jobs/6d18d55640691b00b5b4afbc"}}