Machine Learning Ops Engineer (AI)

Location: Must be based in the United States (required for E-Verify and security clearance eligibility)

Salary: $140,000 - $175,000 USD

Company

hirify.global develops cutting-edge autonomous solutions and unmanned aircraft systems (UAS) for the defense and aerospace sectors.

What you will do

• Design and build LLM-powered tools and agentic workflows to automate company-wide productivity.
• Improve RAG systems, including ingestion, chunking, embedding, and ranking, to enhance answer quality.
• Deploy and operate AI infrastructure on Kubernetes, managing model serving, inference endpoints, and APIs.
• Implement secure access boundaries and integrate with identity systems to prevent cross-team data leakage.
• Build CI/CD pipelines and automate configuration using Ansible and infrastructure-as-code practices.
• Establish evaluation and testing frameworks to measure LLM quality and guide iteration.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or equivalent industry experience.
• 3-6+ years of experience in MLOps, software, platform, or backend engineering.
• Strong proficiency in Python and experience shipping and operating production services.
• Experience building LLM applications using LLM APIs, prompt engineering, and tool/function calling.
• Hands-on experience with Kubernetes and containerized deployment.
• Ability to obtain or maintain a security clearance and verify US work eligibility via E-Verify.

Nice to have

• Experience with vector databases (pgvector, Qdrant, Weaviate, Milvus) and orchestration libraries (LangChain, LlamaIndex).
• Familiarity with the Model Context Protocol (MCP) and model optimization tools (vLLM, TGI, Triton).
• Experience implementing fine-grained authorization (OAuth, SSO, RBAC).
• Knowledge of GPU infrastructure and scheduling for training or inference.
• Background in security and data-handling requirements for regulated or defense environments.

Culture & Benefits

• Comprehensive benefit package including medical, dental, vision, and life insurance.
• 401k with company-match.
• 4 weeks of paid time off per year plus 12 annual company holidays.
• Collaborative environment working on high-impact technology for the future of defense.