AI Infrastructure
MLOps / LLMOps Engineer
Build the infrastructure that keeps ML and LLM systems observable, testable, deployable, and trustworthy.
Oklahoma City, OK / HybridFull-timeMid-SeniorU.S. Citizen / TS capable
Impact
- Create repeatable paths from experiment to production.
- Improve AI reliability through evaluation, monitoring, and deployment discipline.
- Support teams building models, retrieval systems, and agents.
What you'll do
- Build model deployment, evaluation, prompt/version management, and monitoring workflows.
- Automate CI/CD for AI services and data-dependent applications.
- Implement observability for model quality, cost, latency, drift, and failures.
- Support secure integration with model providers and cloud AI services.
What we're looking for
- 4+ years of platform, ML infrastructure, DevOps, or backend engineering experience.
- Experience with containers, CI/CD, observability, and production services.
- Familiarity with model deployment, LLM evaluation, or data pipelines.
- U.S. Citizenship is required.
- Must be capable of obtaining and maintaining a Top Secret security clearance.
- Comfort working with ambiguous mission, data, and engineering problems.
- Strong written communication and ability to explain technical decisions to technical and non-technical teams.
Preferred experience
- AWS experience is a plus, especially secure cloud, GovCloud, serverless, data, or AI services.
- AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus.
- Experience in defense, government, manufacturing, aerospace, logistics, or other mission-critical environments is a plus.
Hiring note
Anautics evaluates candidates based on role-relevant skills, judgment, ownership, and ability to work in high-trust environments. AWS and AI experience are strong pluses across this hiring plan.