Production AI Frontier Agent Engineer

Scale AI, Inc.; New York (NY); On-site; USD 180,000 - 225,000; Full time

Job summary

Scale AI, Inc. is seeking a Frontier Agent Engineer (Applied AI) to bridge cutting-edge research with production deployments for enterprise customers in the United States.

You will design intelligent systems that combine frontier models with structured enterprise data, retrieval, and traditional ML, while coordinating multi-agent workflows and safety guardrails. You will evaluate new models and prompts, own experiments end-to-end, and help shape platforms used across industries like finance,

Qualifications

• 4+ years of software engineering, ML, or applied AI experience.
• Experience building production AI systems using LLMs.
• Experience with modern AI tooling including OpenAI, Claude, MCP, agent frameworks, vector databases, or retrieval systems.
• Strong fundamentals in ML and modern language models.
• Excellent communication with enterprise customers.

Responsibilities

• Design and deploy production AI agents leveraging LLMs, retrieval, memory, and tool use.
• Architect intelligent systems combining LLMs, structured knowledge, and enterprise data.
• Engineer customer intelligence layers, retrieval pipelines, memory systems, and knowledge representations.
• Develop multi-agent systems coordinating reasoning, planning, tool execution, and human oversight.
• Translate frontier AI research into production systems and rapidly evaluate new models and prompts.
• Own the full experimentation lifecycle from hypothesis to production rollout.
• Design evaluation frameworks using offline benchmarks, online experiments, and human assessment.
• Run controlled experiments and ablation studies to understand model contributions.

Skills

4+ years experience

Production AI systems

LLMs

Enterprise customer

OpenAI/Claude tooling

Tools

Docker

Kubernetes

CI/CD

Observability

Job description

Scale AI, Inc. is seeking a Frontier Agent Engineer (Applied AI) to bridge cutting-edge research with production deployments for enterprise customers in the United States.

You will design intelligent systems that combine frontier models with structured enterprise data, retrieval, and traditional ML, while coordinating multi-agent workflows and safety guardrails. You will evaluate new models and prompts, own experiments end-to-end, and help shape platforms used across industries like finance,