MLOps / LLMOps Engineer

ANAUTICS INC; Oklahoma City (OK); On-site; USD 100,000 - 120,000; Full time

Job summary

ANAUTICS INC in Oklahoma City seeks a skilled engineer to build infrastructure for ML and LLM systems. Responsibilities include creating model deployment and monitoring workflows, automating CI/CD for AI services, and ensuring model observability. Candidates should have 4+ years of experience in platform engineering or ML infrastructure, familiarity with AWS and containers, and must be U.S. citizens eligible for a Top Secret security clearance. A strong background in DevOps and communication skills is preferred.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Platform engineering

ML infrastructure

DevOps

Backend engineering

CI/CD

Observability

Tools

AWS

Containers

Job description

Build the infrastructure that keeps ML and LLM systems observable, testable, deployable, and trustworthy.

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.