Senior AI Engineer

Tiber Technologies • Annapolis Junction, MD

1d

About The Position

We are seeking a Senior AI Engineer with strong software engineering experience and deep knowledge of AI/ML systems to support advanced work in artificial intelligence and emerging technologies. In this role, you will design, develop, and maintain LLM-based systems that integrate retrieval, automation, and analysis workflows to improve vulnerability detection, assessment, and mitigation capabilities. You will work closely with technical stakeholders to translate requirements into scalable AI-driven solutions, build orchestration frameworks, and enhance existing engineering processes through applied machine learning techniques.

Requirements

• Strong proficiency in Python and experience integrating LLM-based systems into production workflows
• Experience with data engineering pipelines, including transformation and vectorization of structured and unstructured data
• Familiarity with static analysis tools and RAG-based architectures
• Experience working with relational and vector databases
• Understanding of Agile development practices and tools such as Git, Jira, and Confluence
• Must be a U.S. citizen.
• Must hold an active clearance with a Polygraph
• Bachelor’s degree in computer science, engineering, or related field

Nice To Haves

• Experience with Rust or systems-level programming languages
• Familiarity with AI development tools such as Claude Code or Codex
• Experience implementing CI/CD pipelines for AI/ML systems
• Experience with distributed systems or large-scale AI infrastructure

Responsibilities

• Design, develop, and maintain LLM orchestration frameworks that integrate static analysis tools, retrieval-augmented generation (RAG) systems, and automated testing pipelines
• Develop data ingestion and transformation pipelines to process source code, documentation, and test outputs for AI/ML workflows
• Build and maintain database solutions supporting RAG architectures, including vector stores, metadata management, and audit logging systems
• Collaborate with systems and software engineers to design and deploy AI-enabled tools in secure and distributed environments
• Conduct performance profiling, optimization, and scalability analysis of AI systems
• Support software engineering best practices across the development lifecycle, including testing, deployment, and documentation

Benefits

• professional development opportunities
• mentorship
• access to the tools and resources needed to succeed
• referral bonus of up to $10,000

What This Job Offers

• Job Type: Full-time
• Career Level: Senior