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Senior 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

This Senior Frontier Agents Engineer 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 an experienced software professional who enjoys solving complex distributed systems problems and bringing frontier artificial intelligence into mission-critical production environments.

Role Overview

The Senior Frontier Agents Engineer (Forward Deployed Engineering) works at the intersection of enterprise engineering and artificial intelligence. The hardest part of enterprise AI is building systems that reliably operate inside complex production environments, not just building a great model. In this position, the engineer combines modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies to transform cutting-edge models into reliable enterprise software. Responsibilities span the full lifecycle of production AI systems, from architecting agent platforms and building cloud integrations to operationalizing evaluation frameworks, guardrails, and observability tools.

Key Responsibilities

Architect and deploy production AI systems integrating seamlessly into enterprise environments like 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 allowing artificial intelligence agents to interact safely with customer systems while meeting security, governance, and compliance requirements.
Develop production infrastructure including agent runtimes, orchestration frameworks, context pipelines, execution services, and tool integrations.
Operationalize modern artificial intelligence quality systems, evaluation harnesses, offline benchmarks, online experiments, golden datasets, and LLM-as-a-Judge regression suites.
Partner directly with enterprise customers to understand their technical infrastructure, software architecture, and operational workflows, translating ambiguous problems into scalable architectures.
Serve as the primary technical advisor for strategic accounts, leading architecture discussions spanning distributed systems, AI infrastructure, and production deployment.

Requirements

5+ 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, alongside 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, autonomous systems, distributed systems, APIs, orchestration services, or large-scale backend systems.
Experience with cloud-native infrastructure, Docker, Kubernetes, Infrastructure as Code, and CI/CD pipelines.
Familiarity with modern agent architectures, retrieval systems, tool use, memory, context engineering, evaluation frameworks, and AI monitoring.
Experience working directly with enterprise customers, leading architecture reviews, technical workshops, or customer design sessions.

Skills and Tools

Python
AWS, GCP, Azure
Kubernetes, Docker
Large Language Models (LLMs)
Distributed Systems and Cloud Infrastructure
Vector Databases and Retrieval Systems

Salary and Benefits

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The base salary range for this full-time position in the locations of San Francisco, New York, and Seattle is $216,000 to $270,000 USD, determined during the interview process based on work location, skills, experience, and qualifications. Scale employees in eligible roles are granted equity-based compensation subject to Board of Director approval. Comprehensive benefits include medical, dental, and vision coverage, retirement benefits, a learning and development stipend, a 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 the world's leading enterprises and government organizations—including Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies like the Army and Air Force—to accelerate AI transformation. Scale AI is an inclusive and equal opportunity workplace committed to providing reasonable accommodations to applicants with physical and mental disabilities.

How to Apply

To apply for this position, please visit the official Scale AI careers page and submit your application online.

Skills and tech stack

Questions candidates ask

What are the location options for this role?

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

What experience level is required?

Candidates must have 5+ years of software engineering experience with strong fundamentals in distributed systems, data structures, algorithms, and system design.

What programming languages and tools are needed?

Strong Python programming skills are required, along with experience using cloud platforms like AWS, Azure, or GCP, modern production infrastructure, and LLM APIs or agent frameworks.

What is the salary range for this position in San Francisco and New York?

The base salary range for this full-time position in San Francisco, New York, and Seattle is $216,000 to $270,000 USD, with exact placement determined by experience and qualifications.

What benefits are provided by the company?

Eligible employees receive 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