AI Engineer

Role overview Build and support AI workflows and agents for a government mission in a secure cloud environment. Working with a platform architect and teams responsible for cloud and service management, you will turn user needs into tested prototypes and production solutions, then help monitor and improve them.

Responsibilities - Develop LLM workflows, agents, and retrieval-augmented generation (RAG) pipelines, including document processing, embeddings, vector search, and retrieval tuning. - Connect AI services with cloud-hosted models, service management APIs, and internal data sources; create reusable components and automate business processes. - Test workflows with unit, integration, acceptance, and regression checks; build evaluation data and measures for accuracy, relevance, and reliability. - Investigate defects, hallucinations, and performance issues, and track output quality, data quality, model changes, and usage costs in production. - Collaborate with platform, cloud, and service management specialists on designs, prototypes, integrations, deployment, and technical documentation. - Follow government security and data handling controls, and provide evidence needed for authorization and ongoing cybersecurity reviews.

Requirements - U.S. citizenship and ability to obtain and maintain a Secret clearance. - 15 or more years of relevant experience; a relevant bachelor’s degree may replace five years of experience. - Practical experience building LLM applications, including RAG, prompt engineering, and agent workflows; proficiency in Python and an AI framework such as LangChain or LlamaIndex. - Experience with Azure services, containers, REST APIs, vector databases, and embedding approaches. - Experience with software or AI testing and quality assurance, and ServiceNow integration or scripting. - Ability to turn requirements into working solutions and explain technical results to nontechnical stakeholders.

Nice to have - Active Secret clearance, with eligibility for Top Secret clearance; government cloud, Kubernetes, MLOps, PostgreSQL, or service management platform experience. - Familiarity with defense security frameworks, authorization processes, or Security+ certification.

Benefits and work setup Full-time role with up to 10% local travel. The listing describes flexible time off, learning resources, and health, wellness, financial, retirement, family support, education, and time-off benefits. A salary range was provided in the source but is omitted here to keep this brief anonymous.