Role overview

Scale AI is seeking a Frontier Agent Engineering Manager to serve as the technical leader connecting the company’s AI capabilities with enterprise clients. In this role, you will manage a team while working directly with strategic customers to understand their technical needs, architect custom AI solutions, and ensure successful deployment of AI systems into production environments. You’ll combine hands-on engineering expertise with leadership, solving complex customer challenges at the intersection of AI and enterprise infrastructure.

Key responsibilities

Partner with enterprise customers to assess their technical infrastructure, data pipelines, and business requirements, then design and implement custom integrations between Scale AI’s platform and their existing systems.
Build data connectors and ETL pipelines that ingest, process, and prepare customer data for AI workflows while adhering to their security and compliance boundaries.
Develop production-grade AI agents customized for customer use cases such as customer support, data analysis, content generation, and workflow automation.
Create and optimize prompt engineering strategies tailored to customer domains, including building prompt libraries, templates, and implementing RAG systems and fine-tuning pipelines.
Lead your engineering team in collaboration with customer data scientists, ML engineers, and software developers to ensure seamless integration and smooth project delivery.
Debug technical issues across the full stack and rapidly prototype solutions to unblock customers and validate new use cases.
Document technical architectures and integration patterns while identifying opportunities to productize successful customer solutions.

Requirements

At least five years of software engineering experience with three or more years in a management role, demonstrating strong fundamentals in data structures, algorithms, and system design.
Production-level Python expertise combined with hands-on experience using modern ML and AI frameworks such as LangChain, LlamaIndex, HuggingFace, or OpenAI API.
Experience working with cloud platforms including AWS, GCP, or Azure, and familiarity with modern data infrastructure.
Strong problem-solving abilities with the capacity to work through ambiguous requirements and iterate rapidly toward solutions.
Excellent communication skills enabling you to explain complex technical concepts clearly to both technical and non-technical audiences.

What makes this role worth considering

This position offers the opportunity to work on high-impact AI projects with leading enterprises across industries including professional services, telecommunications, and healthcare. You’ll directly influence how cutting-edge AI technology gets integrated into critical business processes, managing both technical implementation and team leadership while staying at the forefront of AI and machine learning innovation.