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Frontier Agents Engineer (Forward Deployed Engineering)

Scale AISan Francisco, CA; New York, NYEnterprise Engineering
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Salary
Not listed
Job type
Full-time
Posted
15 May 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Frontier Agents Engineer (Forward Deployed Engineering) position at Scale AI involves partnering with strategic enterprise customers to architect, integrate, deploy, and operate production AI systems in San Francisco, CA or New York, NY. This role suits experienced software engineers who enjoy solving complex distributed systems problems, rapidly prototyping new artificial intelligence capabilities, and bringing frontier models into live environments.

Key Responsibilities

Architect and deploy production artificial intelligence systems that integrate smoothly into complex enterprise environments, including cloud platforms, data warehouses, internal APIs, and business applications.
Design scalable agent architectures combining large language models, retrieval, memory, tools, structured knowledge, and enterprise data into reliable production workflows.
Build robust integrations that allow agents to safely interact with customer systems while meeting security, governance, and compliance requirements.
Operationalize modern artificial intelligence quality systems, deployment patterns, and human-in-the-loop workflows to ensure long-term reliability.
Partner directly with enterprise customers to translate ambiguous problems into scalable production architectures and serve as the primary technical advisor.

Requirements

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 such as AWS, Azure, or GCP and modern production infrastructure.
Strong problem-solving skills with the ability to navigate ambiguous technical requirements and communicate effectively with enterprise engineering teams.

Nice to Have

Experience deploying production artificial intelligence agents, autonomous systems, distributed systems, APIs, or large-scale backend systems.
Familiarity with cloud-native infrastructure, Docker, Kubernetes, Infrastructure as Code, and CI/CD.
Experience with evaluation frameworks, LLM observability, regression testing, tracing, monitoring, and safety mechanisms.
Experience working directly with enterprise customers to lead architecture reviews, technical workshops, or customer design sessions.

Skills and Tools

Python
AWS
GCP
Azure
Kubernetes
Docker
LLMs and Vector Databases

Salary and Benefits

Base salary range for this full-time position in San Francisco and New York is $180,000 to $225,000 USD.
Equity-based compensation, subject to Board of Director approval.
Comprehensive health, dental, and vision coverage.
Retirement benefits, learning and development stipend, commuter stipend, and generous paid time off.

About the Company

Scale AI is the data foundation for artificial intelligence, helping organizations build and deploy reliable production AI applications. The company partners with leading enterprises and government organizations across finance, healthcare, manufacturing, media, telecommunications, and government to accelerate AI transformation through frontier systems that solve real business problems. Scale AI proudly operates as an inclusive and equal opportunity workplace.

How to Apply

Apply directly on the official Scale AI careers page or through their authorized application channels.

Skills and tech stack

PythonAWSGCPAzureKubernetesDockerLLM

Questions candidates ask

What locations is this role based in?

This position is located in San Francisco, CA or New York, NY.

What is the salary range for this position?

The base salary range for full-time employees in San Francisco and New York is $180,000 to $225,000 USD.

How many years of experience are required?

Candidates must have 4+ years of software engineering experience with strong fundamentals in distributed systems, data structures, algorithms, and system design.

What programming language is required?

Strong Python programming skills with experience building production software are required.

What benefits are provided?

Benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, a commuter stipend, generous PTO, and equity-based compensation.

Ready to apply?

The application is on the official Scale AI careers page.

Apply on company site