Zone 5 Technologies is building autonomous UAS solutions and hiring an MLOps Engineer to grow in-house LLM tooling. The role focuses on LLM applications, RAG, agentic workflows, and AI infrastructure on Kubernetes. Responsibilities span building AI-powered capabilities, deploying reliable services, and ensuring secure data boundaries.
Responsibilities
Design and build LLM-powered tools and agentic workflows
Extend and improve RAG systems—ingestion, chunking, embedding, retrieval, ranking, and evaluation
Build tool integrations connecting LLMs to internal systems and data sources
Deploy AI tools and services to production, managing Kubernetes infrastructure and model serving
Implement monitoring, logging, and usage observability
Ensure retrieval and agent tools respect access boundaries and integrate with existing identity systems
Build CI/CD pipelines and automate provisioning with Ansible and infrastructure-as-code
Build data pipelines and manage vector databases for RAG and AI workloads
Requirements
Bachelor's in Computer Science, Software Engineering, Data Engineering, or related field (or equivalent industry experience)
3-6+ years of experience in MLOps, software, platform, or backend engineering
Strong proficiency in Python and experience building, shipping, and operating services
Zone 5 Technologies is a UAS and munitions developer focused on government customers in the security and defense sectors. The company specializes in the development and integration of unmanned aircraft systems and digitally engineered missiles.
