JobPosting
title: Staff Frontier Agents Engineer (Applied AI)
description: Job Overview As a Staff Frontier Agent Engineer (Applied AI) at Scale AI, you will bridge the gap between cutting-edge AI research and production deployment. You will 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. Key Responsibilities Frontier AI Systems Design and deploy production AI agents that leverage the latest advances in large language models, reasoning, retrieval, memory, and tool use. Architect intelligent systems that combine LLMs, traditional machine learning, structured knowledge, enterprise data, and deterministic software into reliable production workflows. Engineer customer intelligence layers, retrieval pipelines, memory systems, and knowledge representations that allow agents to reason over large, heterogeneous enterprise data. Develop multi-agent systems that coordinate reasoning, planning, tool execution, and human oversight. Translate frontier AI research into production systems by rapidly evaluating new models, prompting techniques, reasoning paradigms, and agent architectures. Experimentation & Evaluation Own the full experimentation lifecycle, from hypothesis generation to production rollout. Design rigorous evaluation frameworks using offline benchmarks, online A/B experiments, golden datasets, regression suites, LLM-as-a-Judge, and human evaluation. Run controlled experiments and ablation studies to understand the contribution of different models, prompts, retrieval strategies, reasoning techniques, memory systems, and agent architectures. Continuously evaluate newly released frontier models and determine where they meaningfully improve quality, latency, reliability, or cost. Develop confidence estimation, reflection, and continuous learning systems that improve agents over time using real-world feedback. Measure success through business outcomes, not benchmark scores. Product…
date posted: 2026-08-01T16:06:35.462Z
valid through: 2026-09-30T16:06:35.462Z
direct apply: false
occupational category: Engineering
industry: Technology
skills: Python programming
skills: production AI systems using LLMs
skills: modern AI tooling
skills: machine learning fundamentals
skills: quantitative metrics
skills: communication skills
skills: Applied AI
skills: reasoning
skills: retrieval
skills: memory
skills: planning
skills: tool use
skills: RAG
skills: semantic search
skills: knowledge graphs
skills: customer intelligence systems
skills: structured knowledge representations
skills: fine-tuning
skills: distillation
skills: reinforcement learning
skills: small language models
skills: model optimization
skills: multimodal AI systems
skills: frontier foundation models
skills: distributed production systems
skills: cloud platforms
skills: Docker
skills: Kubernetes
skills: CI/CD
skills: production observability
skills: enterprise software environments
hiring organization: Scale AI
  type: Organization
  founding date: 2016
  number of employees: QuantitativeValue
    value: 900
job location: Place
  address: PostalAddress
    address locality: San Francisco
    address region: CA
    address country: US
employment type: FULL_TIME
base salary: MonetaryAmount
  currency: USD
  value: QuantitativeValue
    min value: 252000
    max value: 315000
    unit text: YEAR