Scale AI
Frontier Agents Engineer (Forward Deployed Engineering)
$180K–$225K
San Francisco, CA +2 · Full-time · Posted May 15, 2026
- Location
- San Francisco, CA
New York, New York, United States
San Francisco, California, United States - Experience
- 4+ years of software engineering experience.
About the job
Architects, builds, integrates, and operates production AI systems and agents for enterprise customers, from prototype through deployment and ongoing quality improvement.
What you'll do
- Design and deploy enterprise agent architectures, integrations, and production infrastructure.
- Implement evaluation, observability, reliability, and safety mechanisms for deployed AI systems.
- Advise enterprise customers and collaborate with their teams to translate technical needs into scalable AI solutions.
What they ask for
- 4+ years of software engineering experience; strong fundamentals in distributed systems, data structures, algorithms, and system design.
- 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.
- Experience with Docker, Kubernetes, Infrastructure as Code, and CI/CD.
Pay
$180,000 — $225,000 USD (base salary)
Tools
Python, LLM APIs, MCP, AWS, Azure, GCP, Docker, Kubernetes
AI focus
Build and productionize enterprise AI agents; develop agent architectures, evaluation systems, retrieval strategies, guardrails, and observability to keep deployed AI reliable and safe.
Model-written summary · the original posting is authoritative