Frontier AI Engineer for Enterprise Production Systems

Scale AI; San Francisco (CA); On-site; USD 180,000 - 225,000; Full time

Benefits offered by this job

Health insurance

Dental & vision coverage

Retirement benefits

Learning & development stipend

Generous PTO

Commuter stipend

Job summary

Scale AI is seeking a Frontier Agent Engineer to architect, integrate, deploy, and operate production AI systems for strategic enterprise customers. You will blend software engineering, distributed systems, cloud infrastructure, and frontier AI to turn cutting‑edge models into reliable enterprise software.

You will design production agent architectures, deploy robust integrations with customer systems, and champion best practices for scalable, observable, and secure AI deployments.

Qualifications

• Experience with distributed systems and production software.
• Strong Python programming skills for building production applications.
• Experience deploying AI-powered applications using modern LLM APIs and agent frameworks.
• Experience with cloud platforms (AWS, Azure, or GCP) and modern production infra.
• Excellent communication to work with enterprise engineering teams.

Responsibilities

• Architect and deploy production AI systems for enterprise environments.
• Design scalable agent architectures combining LLMs, retrieval, memory, and tools.
• Build integrations with customer systems ensuring security and governance.
• Prototype new AI capabilities and evolve prototypes into production systems.
• Lead architecture discussions and document reusable patterns.

Skills

Distributed systems

Python

AI platforms

Cloud platforms

Communication skills

Tools

Docker

Kubernetes

CI/CD

Job description

Scale AI is seeking a Frontier Agent Engineer to architect, integrate, deploy, and operate production AI systems for strategic enterprise customers. You will blend software engineering, distributed systems, cloud infrastructure, and frontier AI to turn cutting‑edge models into reliable enterprise software.

You will design production agent architectures, deploy robust integrations with customer systems, and champion best practices for scalable, observable, and secure AI deployments.