Scale AI
Staff Frontier Agents Engineer (Applied AI)
$265K–$331K
San Francisco, CA +2 · Staff · Full-time · Posted Jul 31, 2026
- Location
- San Francisco, CA
New York, New York, United States
San Francisco, California, United States - Experience
- 8+ years of software engineering, machine learning, or applied AI experience.
About the job
Designs, evaluates, and deploys production AI agents and enterprise systems, translating frontier AI research and customer needs into reliable solutions with measurable business impact.
What you'll do
- Architect and build AI agents, retrieval and memory systems, and multi-agent workflows for enterprise use.
- Run experiments and develop evaluation frameworks to assess and improve AI quality, reliability, latency, and cost.
- Work with enterprise customers to translate business problems into scalable production AI systems.
What they ask for
- 8+ years of software engineering, machine learning, or applied AI experience.
- Strong Python programming skills and experience building production AI systems using LLMs.
- Experience with modern AI tooling, such as OpenAI, Claude, MCP, agent frameworks, vector databases, or retrieval systems.
- Strong machine learning and language model fundamentals, experience evaluating AI systems with quantitative metrics, and ability to communicate with enterprise customers.
Nice to have
- Experience building production AI agents or autonomous systems and designing evaluations for LLMs or agentic systems.
- Experience with RAG, knowledge graphs, model optimization, distributed systems, cloud platforms, or production observability.
Pay
$265,000 — $331,000 USD (base salary)
Tools
Python, OpenAI, Claude, MCP, AWS, Azure, GCP, Docker
AI focus
Build and deploy frontier-model AI agents, multi-agent systems, retrieval and memory capabilities, and evaluation and feedback systems for enterprise workflows.
Model-written summary · the original posting is authoritative