Scale AI
Staff Frontier Agents Engineer (Forward Deployed Engineering)
$252K–$315K
San Francisco, CA +2 · Staff · Full-time · Posted May 15, 2026
- Location
- San Francisco, CA
New York, New York, United States
San Francisco, California, United States - Experience
- 8+ years of software engineering experience.
About the job
Architects, builds, integrates, deploys, and operates production AI agent systems for enterprise customers, while shaping reusable engineering practices and advising strategic accounts.
What you'll do
- Design and deploy enterprise agent architectures, integrations, and production infrastructure.
- Build evaluation, observability, safety, and human-in-the-loop systems to maintain agent quality and reliability.
- Work with enterprise customers and internal teams to translate operational needs into production AI systems and reusable patterns.
What they ask for
- 8+ years of software engineering experience, with strong distributed systems, data structures, algorithms, and system design fundamentals.
- Strong Python skills and experience building production software.
- Experience building or deploying AI applications using modern LLM APIs, agent frameworks, MCP, retrieval systems, or vector databases.
- Experience with AWS, Azure, or GCP and modern production infrastructure.
Nice to have
- Experience deploying production AI agents or autonomous systems and integrating AI into enterprise software.
- Experience with cloud-native infrastructure, evaluation and observability, guardrails, or direct enterprise customer work.
Pay
$252,000 — $315,000 USD (base salary)
Tools
Python, LLM APIs, MCP, AWS, Azure, GCP, Docker, Kubernetes
AI focus
Build and productionize enterprise AI agents, including agent architectures, retrieval, evaluation, observability, guardrails, and safe deployment of frontier models.
Model-written summary · the original posting is authoritative