Scale AI

Scale AI

Senior Frontier Agents Engineer (Applied AI)

San Francisco, CA; New York, NY · Senior · Full-time

Sponsorship not specified$216k-$270kDetected 4 days ago
PythonFull-Stack DevelopmentVector DatabasesAWSAzureCloud PlatformsDockerKubernetesCI/CDMachine LearningLLMsRAGAgentic AIA/B TestingResearchCommunication

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 3 green-card filings in this occupation, 100% were for a worker who already held the job.

Files H-1B transfers

42 transfer filings in the last year, covering 42 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • New foundation models, reasoning techniques, agent architectures, and research papers emerge every week.
  • As a Senior Frontier Agent Engineer (Applied AI), you'll bridge the gap between cutting-edge AI research and production deployment.
  • Unlike traditional ML roles that focus on a single model or product, you'll work across a diverse portfolio of AI challenges spanning multiple industries and use cases.

Responsibilities

  • Design and deploy production AI agents that leverage the latest advances in large language models, reasoning, retrieval, memory, and tool use.
  • Develop multi-agent systems that coordinate reasoning, planning, tool execution, and human oversight.
  • Own the full experimentation lifecycle, from hypothesis generation to production rollout.
  • Build production-quality AI systems with a strong emphasis on reliability, observability, latency, safety, and cost.
  • Design agent guardrails, fallback strategies, tracing, monitoring, and evaluation pipelines that enable safe deployment in high-stakes environments.
  • Build human-in-the-loop workflows that effectively combine AI automation with expert oversight.
  • Design rigorous evaluation frameworks using offline benchmarks, online A/B experiments, golden datasets, regression suites, LLM-as-a-Judge, and human evaluation.

Requirements

  • Experience with modern AI tooling, including OpenAI, Claude, MCP, agent frameworks, vector databases, or retrieval systems.
  • Experience designing or evaluating AI systems using quantitative metrics.

Nice to have

  • 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.
  • Familiarity with multimodal AI systems and frontier foundation models.
  • Software Engineering
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Experience with Docker, Kubernetes, CI/CD, and production observability.
  • Experience integrating AI systems into enterprise software environments.

Compensation

  • packages at Scale for eligible roles include base salary, equity, and benefits.
  • Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval.
  • Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant.

Benefits

  • comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.
  • Additionally, this role may be eligible for additional benefits such as a commuter stipend.
  • Architect intelligent systems that combine LLMs, traditional machine learning, structured knowledge, enterprise data, and deterministic software into reliable production workflows.
  • You'll 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.
  • Develop confidence estimation, reflection, and continuous learning systems that improve agents over time using real-world feedback.

Company info

  • At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
  • We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
  • We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
  • We comply with the United States Department of Labor's Pay Transparency provision.
  • We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates.
  • We limit the personal data we collect to that which we believe i
  • At Scale, our mission is to develop reliable AI systems for the world's most important decisions.
  • Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
  • We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.
  • We are expanding our team to accelerate the development of AI applications.
  • We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace.
  • We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
  • We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
  • If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.

Visa & Work Authorization

  • al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status
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This listing is sourced directly from Scale AI's careers page and normalized into a canonical job model.