Senior Staff Frontier Agents Engineer

Scale AI · San Francisco, CA; New York, NY · Enterprise Engineering · listed May 15, 2026

The shape of it

Seniority
Staff
Experience asked
12+ years
Where
Not stated
Stated pay
$288,000 – $360,000 USD
Requirements listed
5
Length
1,308 words

In the posting’s own words

As a Senior Staff Frontier Agents Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments.

What it asks for · 5

  • 12+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design
  • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
  • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
  • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
  • Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences

Also a plus

  • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures
  • Experience building and deploying AI agents or autonomous systems in production
  • Knowledge of vector databases and semantic search systems
  • Contributions to open-source AI/ML projects
  • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines
  • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools
  • Previous work in a devops, platform, or infra role
  • Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA)

Tools and skills named

Models & research
  • Machine learning4×
  • Prompt engineering3×
  • Fine-tuning
  • LLM
Cloud & infra
  • AWS
  • Azure
  • CI/CD
  • Docker
  • GCP
  • Kubernetes
  • Terraform
Data
  • Data pipelines2×
  • Experimentation2×
  • ETL
Security & compliance
  • Security2×
  • GDPR
  • HIPAA
  • SOC 2
Languages
  • Python
Ways of working
  • Testing

Words the posting leans on

  • customer23×
  • data17×
  • agent14×
  • technical12×
  • engineering8×
  • systems8×
  • experience7×
  • model6×
  • customer data5×
  • enterprise5×
  • infrastructure5×
  • pipelines5×
  • solutions5×
  • deep4×
  • integration4×
  • platform4×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Scale AI on August 4, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.