Lead AIOps Platform Engineer

RxSense

United States

On-site

USD 160,000 - 210,000

Full time

14 days+

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Job summary

RxSense is seeking a Principal AIOps Engineer to build the platform that makes AI cheaper, faster, safer, and observable. You will own the infrastructure powering all AI-powered RxSense products and directly report to the Director of AI Engineering.

This is a hands-on role from day one, partnering with AI engineers, software developers, data scientists, security, and finance to deliver deployment pipelines, agent runtimes, eval frameworks, and self-hosted model serving.

Qualifications

BS in Computer Science or a related technical field.
6+ years in platform, infrastructure, or DevOps engineering, with at least 2 years building AI/ML or LLM-powered systems.
Hands-on Python or TypeScript coding experience.
Strong AWS background including IAM, networking, and container orchestration.
Proven experience designing and operating CI/CD pipelines for high-velocity teams.
Excellent written and verbal communication skills.

Responsibilities

Build and maintain end-to-end deployment pipelines for AI-powered applications.
Stand up and operate runtime infrastructure for production agents and manage deployment contracts.
Own provisioning, rotation, and metering of access to model provider APIs; enforce quotas and cost visibility.
Integrate eval frameworks into CI/CD and enable teams to author their own evals.
Stand up self-hosted inference for latency-sensitive workloads and manage serving stack and GPU economics.
Develop shared developer harness for prompt management, model routing, retries, tracing, and policy enforcement.
Collaborate with finance on token accounting and real-time spend observability.
Write documentation and runbooks; promote best practices and reusable interfaces.