Frontier Agents Engineer (Applied AI)

4+ years of software engineering, machine learning, 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.

Experience designing or evaluating AI systems using quantitative metrics.

New foundation models, reasoning techniques, agent architectures, and research papers emerge every week.

Yet building AI systems that reliably solve real-world problems remains one of the hardest engineering challenges.

Frontier Agent Engineer (Applied AI)

, you'll bridge the gap between cutting-edge AI research and production deployment.

You'll work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software.

Unlike traditional ML roles that focus on a single model or product, you'll work across a diverse portfolio of AI challenges spanning multiple industries and use cases.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems.

Every day, we work with organizations across finance, healthcare, manufacturing, media and telecommunications to build production AI agents that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale.