Senior Frontier AI Agent Engineer — Production-Ready Intelligence

United States Digital Space LLC; San Francisco, New York (CA, NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Scale AI is seeking a Senior Frontier Agent Engineer (Applied AI) to bridge cutting-edge research and production systems for enterprise customers. You’ll design and deploy intelligent agents that combine frontier models with structured data and tooling.

You’ll work across multiple industries, build multi-agent architectures, and evaluate models end-to-end with a focus on reliability, observability, and business impact in real-world deployments.

Qualifications

• 5+ years of software engineering, ML, or applied AI experience.
• Strong Python programming skills.
• Experience building production AI systems using LLMs.
• Experience with AI tooling including OpenAI, Claude, MCP, vector databases or retrieval systems.
• Strong understanding of ML fundamentals and modern language models.
• Experience designing/evaluating AI systems using quantitative metrics.
• Excellent communication skills and ability to work directly with enterprise customers.

Responsibilities

• Design and deploy production AI agents that leverage LLMs, reasoning, retrieval, memory, and tool use.
• Architect intelligent systems that combine LLMs, traditional ML, structured knowledge, enterprise data, and deterministic software.
• Engineer customer intelligence layers, retrieval pipelines, memory systems, and knowledge representations for large data.【note】
• Develop multi-agent systems that coordinate reasoning, planning, tool execution, and human oversight.
• Translate frontier AI research into production systems by evaluating new models, prompts, reasoning paradigms, and agent architectures.

Skills

Python

LLMs

AI tooling

Enterprise customers

Communication

Quantitative eval

Software engineering

Tools

Docker

Kubernetes

CI/CD

Observability

Job description

Scale AI is seeking a Senior Frontier Agent Engineer (Applied AI) to bridge cutting-edge research and production systems for enterprise customers. You’ll design and deploy intelligent agents that combine frontier models with structured data and tooling.

You’ll work across multiple industries, build multi-agent architectures, and evaluate models end-to-end with a focus on reliability, observability, and business impact in real-world deployments.