AI Ops Specialist

Ready.net; United States; Remote; USD 125,000 - 160,000; Full time

Job summary

An innovative company is seeking a proactive AI Ops Specialist to drive the automation and optimization of AI workflows. In this role, you'll be at the forefront of integrating AI systems, ensuring operational reliability, and enhancing efficiency across various platforms. This position emphasizes the operationalization of AI rather than model development, making it ideal for those passionate about improving AI service delivery. Join a dynamic team dedicated to redefining industry standards and enjoy the flexibility of 100% remote work, competitive salary, and opportunities for professional growth.

Benefits

Competitive salary

Equity opportunities

Remote work flexibility

Professional development opportunities

Annual retreats

Customized benefits program

Qualifications

• 3+ years of experience in AI operations or process automation.
• Hands-on experience with AI/ML operational workflows.
• Knowledge of QA/QC methodologies and operational analytics.

Responsibilities

• Implement and manage AI-powered automation workflows.
• Track and optimize AI model performance in production.
• Maintain documentation of AI workflows and procedures.

Skills

AI Operations

Process Automation

MLOps Tools (MLflow, Kubeflow)

Cloud Platforms (AWS, GCP, Azure)

Scripting (Python, SQL)

AI System Monitoring

Data Validation

Workflow Optimization

Prompt Engineering

Cross-functional Communication

Education

Bachelor's Degree in Computer Science

Bachelor's Degree in Data Science

Bachelor's Degree in Engineering

Tools

AWS

GCP

Azure

MLflow

Kubeflow

Job description

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This range is provided by Ready.net. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$125,000.00/yr - $160,000.00/yr

Ready is seeking a proactive and technically skilled AI Platform Operations Specialist to drive the automation, optimization, and monitoring of AI-powered workflows. In this role, you will work at the intersection of AI, platform operations, and process automation—ensuring seamless integration, data integrity, and efficient execution across internal and external systems.

As a key member of the Engineering Team, you will be responsible for maintaining and optimizing AI-driven workflows, ensuring operational reliability, and scaling AI-powered automation across the organization. This role is not about AI model development but rather about operationalizing AI systems, ensuring their efficiency, reliability, and compliance.

About Your Role At Ready ️

• Implement and manage AI-powered automation workflows to improve efficiency, reduce manual effort, and streamline operational processes.
• Track and optimize AI model performance and automated workflows, identifying anomalies, bottlenecks, and inefficiencies in real-time production environments.
• Develop and execute QA/QC frameworks to ensure data integrity, feature validation, and verification.
• Configure and maintain internal automation tools, reducing friction for teams and ensuring scalable and efficient AI operations.
• Optimize language model prompting techniques and function calling mechanisms to enhance AI-driven automation and decision-making.
• Identify and resolve AI system failures, automation breakdowns, and operational issues to maintain smooth AI service delivery.
• Maintain clear, up-to-date documentation of AI workflows, operational procedures, and platform behavior to support efficiency and troubleshooting.
• Work closely with engineering, product, and operations teams to optimize AI utilization, flag risks/blockers, and drive continuous improvements in AI-driven workflows.
• Ensure AI operations align with data privacy, security, and ethical AI standards while adhering to industry best practices.
• Ensure a seamless and intuitive user experience with deep empathy for user interactions with your tools and workflows.
• Work with, train, tune, and configure existing AIs to perform as agents and contribute to Ready’s Center of Excellence.
  
  

A Bit About You

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
• 3+ years of experience in AI operations, product operations, or process automation within a SaaS or AI-driven environment.
• Hands-on experience with AI/ML operational workflows, MLOps tools (e.g., MLflow, Kubeflow), and cloud platforms (AWS, GCP, Azure).
• Strong background in automation, scripting (Python, SQL), and internal tooling to enhance operational efficiency.
• Experience with AI system monitoring, troubleshooting, and optimizing workflows in production environments.
• Knowledge of QA/QC methodologies, AI-assisted decision-making frameworks, and operational analytics.
• Proficiency in AI model monitoring, data validation, automation tooling, and workflow optimization.
• Experience with LLM prompt engineering & function calls to enhance AI automation and model-driven workflows.
• Ability to work cross-functionally and communicate effectively with both technical and non-technical stakeholders.
• Familiarity with AI-assisted automation tools and configuring workflows without deep engineering expertise.
  
  

About Ready

• Creative problem solvers approaching a legacy industry with a new point of view
• Humble but ambitious, knowledgeable but curious, persistent but not obnoxious
• Concise and effective in written and spoken communication
• Comfortable working remotely
• One team, one dream
  
  

About What You Get…

• Competitive salary plus meaningful equity upside; salary range is $125,000-$160,000
• Competitive (and ever expanding) benefits for employees and dependents
• 100% remote work from home
• Opportunities to learn and grow – all things startups
• A chance to play a role in defining the roadmap as we pursue a bold vision and and a big goal
• Work from anywhere you want, as long as you can get great internet (and your work here at Ready helps make this true in more places).
• To get away - we all convene 1-2x / year for [optional, encouraged] retreats
• We’re actively shaping our benefits program: have a say in which benefits matter to you
• The charter to realize a market that is set to receive $65 billion in grant funding across the United States

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Management and Manufacturing

• Industries

  Technology, Information and Internet

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