Lawrence Livermore National Laboratory
Software Engineer - AI RAG & Data Virtualization
Lawrence Livermore National Laboratory, Livermore, California, United States, 94551
Software Engineer - AI RAG & Data Virtualization
Mid-Senior Level | Full-time Information Technology/Computing | livermore, CA | 08/26/2025 Reference #:
REF7392C Job Code:
SES.3 Science & Engineering MTS 3 Organization:
Computing Position Type:
Career Indefinite Security Clearance:
Anticipated DOE Q clearance (requires U.S. citizenship and a federal background investigation) Drug Test:
Required for external applicant(s) selected for this position (includes testing for use of marijuana) Medical Exam:
Not applicable Apply Now Join us and make YOUR mark on the World! Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place. We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory’s mission. Pay Range $168,780 - $214,032 annually Job Description
We're looking for amid-level
Software Engineer to join our Enterprise Data Management team supporting AI enablement. In this role, you will help design, develop, and deploy solutions that integrateRetrieval-Augmented Generation (RAG)pipelines anddata virtualization technologiesto empower AI-driven decision-making across critical business functions includingFinance, HR, Procurement, Environmental, Safety & Health, and Facilities and Infrastructure. You will work closely with application developers, data scientists, product owners, and business analysts to ensure that high-quality, context-rich data is accessible and usable by AI applications—helping to unlock business insights and operational efficiency. This position offers a hybrid schedule, blending in-person and virtual presence. You will have the flexibility to work from home one or more days per week. You will Build and maintainRetrieval-Augmented Generation pipelines, integrating LLMs (e.g., OpenAI, Anthropic, etc.) with enterprise document stores and vector databases. Develop scalable, secure APIs and microservices that enable RAG-based applications (e.g., AI copilots, intelligent document search). Work with application development teams to optimize retrieval performance and improve accuracy through prompt engineering and grounding techniques. Collaborate with data engineering teams to integrate virtualized data sources (e.g., via Denodo ) into AI workflows. Build connectors and middleware to access and transform real-time operational data for consumption by LLMs and analytics services. Ensure solutions maintaindata lineage, access controls, and governance policies. Partner with application developers and stakeholders across operational areas such asFinance, HR, and Procurementto identify AI opportunities and build tools that reduce manual workflows (e.g., invoice summarization, policy Q&A, contract analysis). Deliver intuitive UIs, dashboards, or endpoints that expose AI functionality to business users. Monitor system performance and iterate on feedback to improve usability, explainability, and relevance. Perform duties as assigned Qualifications
Ability to obtain and maintain a U.S. DOE L-level security clearance in the future. This requires U.S. Citizenship. Bachelor’s degree in Computer Science, Engineering, or related technical field. Significant experience in software development, preferably in enterprise or data-rich environments. Significant experience building AI-powered applications, particularly using RAG architectures, vector databases (e.g., OpenSearch, pgvector, Pinecone), and LLM APIs (e.g., OpenAI, Azure OpenAI). Significant experience withdata virtualization tools(Denodo) or similar data integration platforms. Significant experience in leveragingRESTful API development,microservices, andcloud platforms(e.g., AWS, Azure). Advanced knowledge ofdata privacy,security best practices, and compliance when working with operational data. Qualifications We Desire Experience working withinAgile/Scrumenvironments supporting cross-functional development teams Knowledge ofenterprise data systems(e.g., Oracle Finance, Oracle HCM Cloud, PeopleSoft, Hexagon/Infor EAM). Exposure tovector embeddings,semantic search, andknowledge graphtechnologies. Familiarity withDevOps,CI/CD pipelines, and containerization (e.g., Docker, Kubernetes). Advanced knowledge of prompt tuning, feedback loops, and human-in-the-loop AI design. Additional Information
#LI-Hybrid Position Information This is a Career Indefinite position, open to Lab employees and external candidates. Why Lawrence Livermore National Laboratory? Included in 2025 Best Places to Work by Glassdoor! Flexible schedules (*depending on project needs) This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, wewill initiate a Federal background investigation to determine if youmeet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the useand/or possession ofmobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area whereyou are not permitted to have a personal and/or laboratory mobile devicein your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. Ifyou useamedical device, whichpairs with a mobile device,you must still follow the rules concerningthe mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities requireseparate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesjob applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here . Operated by the Lawrence Livermore National Security, LLC for theDepartment of Energy's National Nuclear Security AdministrationLearn about the Department of Energy's Vulnerability Disclosure Program
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Mid-Senior Level | Full-time Information Technology/Computing | livermore, CA | 08/26/2025 Reference #:
REF7392C Job Code:
SES.3 Science & Engineering MTS 3 Organization:
Computing Position Type:
Career Indefinite Security Clearance:
Anticipated DOE Q clearance (requires U.S. citizenship and a federal background investigation) Drug Test:
Required for external applicant(s) selected for this position (includes testing for use of marijuana) Medical Exam:
Not applicable Apply Now Join us and make YOUR mark on the World! Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place. We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory’s mission. Pay Range $168,780 - $214,032 annually Job Description
We're looking for amid-level
Software Engineer to join our Enterprise Data Management team supporting AI enablement. In this role, you will help design, develop, and deploy solutions that integrateRetrieval-Augmented Generation (RAG)pipelines anddata virtualization technologiesto empower AI-driven decision-making across critical business functions includingFinance, HR, Procurement, Environmental, Safety & Health, and Facilities and Infrastructure. You will work closely with application developers, data scientists, product owners, and business analysts to ensure that high-quality, context-rich data is accessible and usable by AI applications—helping to unlock business insights and operational efficiency. This position offers a hybrid schedule, blending in-person and virtual presence. You will have the flexibility to work from home one or more days per week. You will Build and maintainRetrieval-Augmented Generation pipelines, integrating LLMs (e.g., OpenAI, Anthropic, etc.) with enterprise document stores and vector databases. Develop scalable, secure APIs and microservices that enable RAG-based applications (e.g., AI copilots, intelligent document search). Work with application development teams to optimize retrieval performance and improve accuracy through prompt engineering and grounding techniques. Collaborate with data engineering teams to integrate virtualized data sources (e.g., via Denodo ) into AI workflows. Build connectors and middleware to access and transform real-time operational data for consumption by LLMs and analytics services. Ensure solutions maintaindata lineage, access controls, and governance policies. Partner with application developers and stakeholders across operational areas such asFinance, HR, and Procurementto identify AI opportunities and build tools that reduce manual workflows (e.g., invoice summarization, policy Q&A, contract analysis). Deliver intuitive UIs, dashboards, or endpoints that expose AI functionality to business users. Monitor system performance and iterate on feedback to improve usability, explainability, and relevance. Perform duties as assigned Qualifications
Ability to obtain and maintain a U.S. DOE L-level security clearance in the future. This requires U.S. Citizenship. Bachelor’s degree in Computer Science, Engineering, or related technical field. Significant experience in software development, preferably in enterprise or data-rich environments. Significant experience building AI-powered applications, particularly using RAG architectures, vector databases (e.g., OpenSearch, pgvector, Pinecone), and LLM APIs (e.g., OpenAI, Azure OpenAI). Significant experience withdata virtualization tools(Denodo) or similar data integration platforms. Significant experience in leveragingRESTful API development,microservices, andcloud platforms(e.g., AWS, Azure). Advanced knowledge ofdata privacy,security best practices, and compliance when working with operational data. Qualifications We Desire Experience working withinAgile/Scrumenvironments supporting cross-functional development teams Knowledge ofenterprise data systems(e.g., Oracle Finance, Oracle HCM Cloud, PeopleSoft, Hexagon/Infor EAM). Exposure tovector embeddings,semantic search, andknowledge graphtechnologies. Familiarity withDevOps,CI/CD pipelines, and containerization (e.g., Docker, Kubernetes). Advanced knowledge of prompt tuning, feedback loops, and human-in-the-loop AI design. Additional Information
#LI-Hybrid Position Information This is a Career Indefinite position, open to Lab employees and external candidates. Why Lawrence Livermore National Laboratory? Included in 2025 Best Places to Work by Glassdoor! Flexible schedules (*depending on project needs) This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, wewill initiate a Federal background investigation to determine if youmeet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the useand/or possession ofmobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area whereyou are not permitted to have a personal and/or laboratory mobile devicein your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. Ifyou useamedical device, whichpairs with a mobile device,you must still follow the rules concerningthe mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities requireseparate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesjob applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here . Operated by the Lawrence Livermore National Security, LLC for theDepartment of Energy's National Nuclear Security AdministrationLearn about the Department of Energy's Vulnerability Disclosure Program
#J-18808-Ljbffr