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Scale AI

Staff Frontier Agents Engineer (Applied AI)

Scale AI · San Francisco, CA; New York, NY

Posted about 2 months ago

or apply directly on Scale AI's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
Scale AI's roles stay open a median of 66 days
Reposted
No
Salary listed
No
2% of Scale AI's roles list one
Ghost-job risk at Scale AI
high
192 stale, 5 reposted of 217 open
Hiring momentum
270 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from Scale AI's own greenhouse board since 2026-08-03. Full hiring picture for Scale AI.

About this role

As a Staff Frontier Agent Engineer at Scale AI, you will bridge the gap between AI research and production deployment by designing and implementing intelligent systems that utilize advanced AI models and techniques. Your role involves collaborating with enterprise customers to create AI agents that automate workflows, evaluate new models, and ensure the reliability and safety of production systems. You will also be responsible for the full experimentation lifecycle, measuring success through business outcomes and continuously improving AI agents using real-world feedback.

Our read on this posting2.8out of 5
benefits
3/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Scale AI as an employer.

What you need

  • 8+ years of software engineering, machine learning, or applied AI experience
  • Strong Python programming skills
  • Experience building production AI systems using LLMs
  • Experience with modern AI tooling, including OpenAI, Claude, MCP, agent frameworks, vector databases, or retrieval systems
  • Strong understanding of machine learning fundamentals and modern language models
  • Experience designing or evaluating AI systems using quantitative metrics

Nice to have

  • Experience building production AI agents or autonomous systems
  • Deep understanding of reasoning, retrieval, memory, planning, and tool use
  • Experience designing evaluation frameworks for LLMs and agentic systems
  • Experience with RAG, semantic search, knowledge graphs, customer intelligence systems, or structured knowledge representations
  • Experience with fine-tuning, distillation, reinforcement learning, small language models, or model optimization

What you get

  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Commuter stipend

Worth weighing

  • No specific salary range provided for all locations, only for San Francisco, New York, and Seattle
  • Role involves a broad range of AI challenges across multiple industries, which may require adaptability
  • The position emphasizes both applied AI and engineering, which may appeal to candidates looking for diverse experience

Summarised from Scale AI's posting. Read the full original.

Listed by Scale AI on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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