Strengthen the United States’ security by integrating AI technologies across business systems application portfolio at Lawrence Livermore National Laboratory (LLNL)
Requirements
- Significant experience in leveraging business operations data to support AI RAG efforts.
- Significant experience building AI powered applications, particularly with leveraging RAG services, vector databases, and LLM APIs.
- Significant experience in implementing RESTful APIs, microservices, MCP servers, or cloud platform services.
- Advanced skills in programming languages such as Python, JavaScript/TypeScript, or Java.
- Advanced knowledge of prompt tuning, feedback loops, and implementing guardrails/safeguards in AI systems design.
- Experience working within Agile/Scrum environments supporting cross functional development teams.
- Exposure to vector embeddings, semantic search, and knowledge graph technologies.
Responsibilities
- Conduct and maintain Retrieval Augmented Generation (RAG) data pipelines by integrating LLMs (for example, OpenAI, Anthropic, etc.) with enterprise document stores and vector databases.
- Collaborate in the development of scalable, secure APIs, microservices, and MCP servers that enable RAG based application access to business system data sources.
- Partner with application development teams to optimize retrieval performance, improve accuracy through prompt engineering and grounding techniques, and reduce LLM token usage to help manage AI related costs.
- Collaborate with data engineering teams to integrate virtualized data sources into AI workflows.
- Build connectors and middleware to access and transform real time operational data for consumption by LLMs and analytics services.
- Partner with application developers and stakeholders across operational areas such as Finance, HR, and Procurement to help identify opportunities to leverage AI tools that reduce manual workflows.
- Monitor AI technology performance and provide solutions to improve usability, explainability, and relevance.
Other
- Ability to obtain and maintain a U.S. DOE L level security clearance in the future, which requires U.S. citizenship.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field.
- Advanced verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information and provide advice to management.
- Must pass a post-offer, pre-employment drug test.
- Must be aware of and follow rules concerning the use and/or possession of mobile devices in Limited Areas.
