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Lawrence Livermore National Laboratory · 20 hours ago

AI Solutions Engineer

Livermore, CA

Full-time

Hybrid

Mid, Senior Level

$115K/yr - $214K/yr

Lawrence Livermore National Laboratory (LLNL) is dedicated to strengthening the United States’ security through innovative solutions. They are seeking an AI Solutions Engineer to design, develop, and deploy AI technologies across business applications, collaborating with various teams to enhance operational efficiency and performance.

Information TechnologyMarket ResearchSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

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

Perform other duties as assigned

Qualification

AI powered applicationsRAG technologiesRESTful APIsProgramming languagesMicroservicesVector databasesPrompt tuningAgile/ScrumDevOpsCI/CD pipelinesCommunication skills

Required

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

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

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