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Scale AI

Frontier Agents Engineer (Forward Deployed Engineering)

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

Posted about 3 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
80 days
Scale AI's roles stay open a median of 80 days
Reposted
No
Salary listed
No
2% of Scale AI's roles list one
Ghost-job risk at Scale AI
high
215 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
2026-10-22

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 Frontier Agent Engineer at Scale AI, you will work directly with enterprise customers to architect, integrate, deploy, and operate production AI systems. Your role will involve designing scalable agent architectures, building robust integrations, and operationalizing AI quality systems while collaborating with various teams to ensure successful deployment of AI capabilities in complex environments.

Our read on this posting2.6out of 5
benefits
3/5
freshness
1/5
career value
4/5
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

  • 4+ years of software engineering experience with strong fundamentals in distributed systems, data structures, algorithms, and system design.
  • Strong Python programming skills with experience building production software.
  • Experience building or deploying AI-powered applications using modern LLM APIs, agent frameworks, MCP, retrieval systems, or vector databases.
  • Experience with cloud platforms (AWS, Azure, or GCP) and modern production infrastructure.
  • Strong problem-solving skills with the ability to navigate ambiguous technical requirements and rapidly iterate toward production solutions.
  • Excellent communication skills and the ability to work directly with enterprise engineering teams.

Nice to have

  • Experience deploying production AI agents or autonomous systems.
  • Experience designing distributed systems, APIs, orchestration services, or large-scale backend systems.
  • Experience with cloud-native infrastructure, Docker, Kubernetes, Infrastructure as Code, and CI/CD.
  • Experience integrating AI systems into enterprise software environments.
  • Familiarity with modern agent architectures, retrieval systems, tool use, memory, and context engineering.

What you get

  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Potential for commuter stipend
  • Equity-based compensation subject to Board of Director approval.

Worth weighing

  • No specific mention of the technology stack beyond Python and cloud platforms, which may imply reliance on legacy systems.
  • The role requires direct customer interaction, which may involve navigating complex client environments and expectations.
  • The job description is quite broad, covering multiple aspects of AI systems engineering, which may lead to varied responsibilities.

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

Listed by Scale AI on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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