AI Engineer (LLM)

TL;DR

AI Engineer (LLM): Architecting, building, and deploying intelligent, agentic solutions for Global Defense with an accent on LLM integration, RAG pipelines, and ML algorithm application. Focus on training, testing, and maintaining models that operate across legacy infrastructure and modern cloud platforms.

Location: Must be based in the United States (Arlington, VA). Role may require occasional in-person work at Booz Allen or customer facilities.

Salary: $77,600–$176,000 (annualized USD).

Company

hirify.global is a global technology and consulting firm providing mission-critical solutions for defense, intelligence, and enterprise environments.

What you will do

• Architect and deploy intelligent, agentic AI solutions across diverse infrastructure.
• Train, test, and maintain machine learning models using best-fit algorithms.
• Develop and consume RESTful APIs to integrate AI features into enterprise systems.
• Collaborate with senior architects and platform leads to define ML strategy.
• Implement RAG pipelines and LLM-based workflows to solve complex mission challenges.
• Ensure code quality through documentation, testing, and adherence to review practices.

Requirements

• Must hold a Secret clearance.
• 2+ years of experience in machine learning, software, or data engineering.
• Proficiency in Python and application containerization.
• Experience with LLMs, embeddings, and frameworks like LangChain or LlamaIndex.
• Experience with cloud platforms (AWS, Azure, or GCP) and vector databases.
• Bachelor’s degree in a relevant field.

Nice to have

• Experience with AI-assisted development tools like Cursor or Claude Code.
• Familiarity with open-source AI projects such as Ollama.
• Experience with CI/CD workflows and Docker.
• Master’s degree in Computer Science or Engineering.

Culture & Benefits

• Comprehensive health, life, disability, and retirement benefits.
• Paid leave and professional development opportunities.
• Tuition assistance and work-life balance programs.
• Recognition awards for exceptional performance.
• Collaborative, people-first culture with support for virtual engagement.