Senior AI Engineer

We are seeking an experienced Senior AI Engineer to build retrieval semantic search summarization and source-traceable AI application capabilities for a Federal data analytics and AI modernization initiative.

The team will deliver a secure scalable platform that integrates structured and unstructured data provides data visualization and traceable AI-assisted analytics and gives examiners centralized tools for search review monitoring and decision support. The platform will support professional judgment and will not replace authoritative agency financial or grants-management systems or execute financial transactions.

• Develop LLM-powered applications for retrieval semantic search summarization document analysis and decision support.
• Build and integrate RAG pipelines embeddings vector search and semantic retrieval capabilities.
• Develop Python-based APIs and AI application services for production environments.
• Implement prompt orchestration context management evaluation source citation and output grounding.
• Implement guardrails access controls authentication logging error handling and output validation.
• Evaluate and optimize AI applications for accuracy relevance groundedness latency and reliability.
• Integrate AI services with databases search platforms APIs and existing data pipelines.
• Troubleshoot and optimize LLM retrieval API and AI application workflows.
• Develop technical documentation for AI architecture retrieval workflows APIs evaluation methods and operational procedures.
• Collaborate with AI/ML data engineering data science and software engineering teams throughout development and testing.
• Apply security privacy accessibility data governance and records-management requirements to AI applications.

• Hands-on experience developing applications using LLMs RAG semantic search or generative AI.
• Experience building AI services for search summarization document analysis question answering or decision support.
• Strong Python and API development skills.
• Experience with embeddings vector search retrieval prompt orchestration and LLM evaluation.
• Experience implementing source citation grounding traceability and output validation.
• Experience implementing AI guardrails access controls logging monitoring and error handling.
• Experience integrating AI/LLM services with databases APIs search platforms and data pipelines.
• Strong technical communication documentation problem-solving and cross-functional collaboration skills.
• U.S. citizenship and ability to obtain and maintain Top Secret eligibility.
• Active Top Secret clearance highly preferred.

• Experience developing AI/LLM solutions for Federal financial grants budget payment award oversight or financial reporting data.
• Experience deploying AI applications in secure Federal on-premises cloud or hybrid environments.
• Experience with open-source LLMs and AI/ML frameworks.
• Experience with vector databases semantic search engines or hybrid search architectures.
• Experience with Linux.
• Familiarity with PostgreSQL and/or Microsoft SQL Server.
• Experience with Kubernetes and/or Rancher.
• Familiarity with Jenkins self-hosted Azure DevOps and CI/CD pipelines.
• Familiarity with Java and/ applications and API integrations.
• Experience with LLM observability evaluation frameworks prompt/version management and AI application lifecycle management.
• Familiarity with AI security model governance responsible AI and data protection practices.