Primary record

Senior Staff Frontier Agents Engineer

Scale AI Indexed employerSan Francisco, CA; New York, NY · New York, New York, United States · San Francisco, California, United States
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Workplace

On-site

Employment

Internship

Published

Aug 11, 2026

Closes

No date supplied

The role

About Scale AI

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities.

Role Overview

As a Senior Staff Frontier Agents Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments.

This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows.

Key Responsibilities

Customer Integration & Deployment

• Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements

• Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)

• Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows

• Deploy and configure AI models and agents within customer security and compliance boundaries

AI Agent Development

• Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation

• Architect multi-agent systems that orchestrate between different models, tools, and data sources

• Implement evaluation fra

Requirements

Department: Enterprise Engineering