Remote AI Engineer: Code QA & Prompt Expert

Outlier; Quilmes; Remote; ARS 185,448,000 - 278,173,000; Full time

Job summary

Outlier seeks a Cloud AI Engineer to design and deploy ML solutions on Google Cloud for enterprise customers. You will work on modernizing applications, build agentic AI workflows, and mentor junior engineers.

This customer-facing role requires strong Python skills and fluency in English while traveling to client sites in the Americas. You will collaborate with Google Cloud teams to implement TensorFlow, DataFlow, and Vertex AI, shaping solutions from architecture to production.

Qualifications

• Bachelor's degree in Computer Science or equivalent practical experience.
• 3 years of experience building machine learning solutions and working with technical customers.
• Experience designing cloud enterprise solutions and supporting customer projects to completion.
• Experience building and deploying custom ML models into production, including experience with deep learning frameworks and with designing and deploying agentic AI workflows for business process automation.
• Experience coding in Python, including data structures, algorithms, and software design.
• Ability to communicate in English fluently as this is a customer-facing role.

Responsibilities

• Be a trusted technical advisor to customers and solve complex machine learning challenges.
• Coach customers on the practical challenges in machine learning systems: feature extraction and feature definition, data validation, monitoring, and management of features and models.
• Work with Customers, Partners, and Google Product teams

Skills

English fluency

Python

Education

Bachelor's degree in Computer Science or equivalent practical experience

Tools

TensorFlow

PyTorch

XGBoost

Apache Beam

Hadoop

Spark

Job description

Outlier seeks a Cloud AI Engineer to design and deploy ML solutions on Google Cloud for enterprise customers. You will work on modernizing applications, build agentic AI workflows, and mentor junior engineers.

This customer-facing role requires strong Python skills and fluency in English while traveling to client sites in the Americas. You will collaborate with Google Cloud teams to implement TensorFlow, DataFlow, and Vertex AI, shaping solutions from architecture to production.