Principal AI Ops Engineer

RxSense

Principal AI Ops Engineer at RxSense, building the platform for AI infrastructure. This role involves collaboration across engineering, security, and finance teams to enhance AI application deployment.

Posted 7/13/2026full-timeRemote • New York • 🇺🇸 United StatesLead💰 $190,000 - $225,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining CI/CD pipelines for AI-powered applications, with a strong focus on production infrastructure for AI/ML systems. Proficient in managing costs and reliability while ensuring clear documentation and effective communication across teams.

Highest-signal resume keywords

CI/CD Pipeline DesignAWS Infrastructure ManagementAI/ML Production ExperiencePython or TypeScript Coding FluencyDeveloper Platform Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

CI/CD PipelineArtifact ManagementEnvironment PromotionProduction InfrastructureAI/ML SystemsPythonTypeScriptMonitoringVersioningRate-Limiting

Soft Skills

Analytical ThinkingProblem-SolvingWritten CommunicationCollaborationDocumentation

Tools & Technologies

AWSIAMContainer OrchestrationModel Provider APIsSelf-Hosted Inference

Certifications & Qualifications

BS in Computer ScienceMS in Computer SciencePh.D. in Computer Science

Industry Keywords

AI-Powered ApplicationsLLM-Powered SystemsToken AccountingCost AttributionProduction Agents

Tech Stack

Tools & technologies

AWSPythonTypeScript

About the role

Key responsibilities & impact

Build and maintain end-to-end deployment pipelines for AI-powered applications, including artifact builds, environment promotion, rollback, and observability hooks.
Stand up and operate the runtime and lifecycle infrastructure for production agents, including deployment, versioning, monitoring, rate-limiting, and retirement.
Own how the organization provisions, rotates, scopes, and meters access to model provider APIs (Anthropic, OpenAI, and others).
Build evals into the CI/CD pipeline so no agent or LLM-powered service ships without passing a defined eval bar.
Stand up self-hosted inference for workloads where managed APIs aren't the right fit.
Design and build the shared developer harness that every AI-powered service uses.
Partner with finance on cost visibility, including token accounting and per-feature cost attribution.
Write documentation, runbooks, and clear interfaces.
Participate in code review and promote collaboration and best practices.

Requirements

What you’ll need

BS (or higher, e.g., MS or Ph.D.) in Computer Science or related technical field involving coding, or equivalent technical experience.
6+ years of platform, infrastructure, or DevOps engineering, with at least 2 years building production infrastructure for AI/ML or LLM-powered systems.
Deep hands-on experience designing and operating CI/CD pipelines for high-velocity engineering organizations, including artifact management, environment promotion, and progressive rollout.
Strong AWS background, comfortable down to the IAM, networking, and container orchestration layers.
Proven track record building developer platforms or internal tools that other engineering teams adopted by choice, not by mandate.
Production experience with LLM-powered applications, including prompt management, model routing, retries, tracing, and the operational realities of running agents or chains in production.
Hands-on coding fluency in Python or TypeScript, ideally both.
Comfortable operating in a polyglot environment.
Comfortable owning the cost and reliability conversation with both engineering leadership and finance partners.
Strong written communication and a bias toward documentation, runbooks, and clear interfaces.
Proven analytical thinking and problem-solving skills.
Excellent communication skills, both verbal and written.

Benefits

Comp & perks

RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin.
Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status.
We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.