Public Sector Forward-Deploy Software Engineer (AI)

Scale AI; Washington; Hybrid; USD 184,000 - 293,000; Full time

Benefits offered by this job

Health, dental, vision coverage

Retirement benefits

Learning and development stipend

Generous PTO

Commuter stipend

Job summary

Scale AI's Public Sector Engineering team embeds engineers with U.S. government customers to build and deploy AI applications that support critical missions.

This is a hybrid, customer-facing role with end-to-end ownership from prototype to production, delivering software adopted in the field. You will design backend systems and data integrations and collaborate to incorporate field signals into the roadmap.

Qualifications

• 5+ years of software engineering experience, ideally in customer-facing, forward-deployed, or government contexts.
• Strong production coding in Python and TypeScript.
• Comfort across the stack including cloud platforms (AWS/Azure/GCP), containers, Linux, and networking fundamentals.
• Ability to operate independently in ambiguous, fast-moving environments and make sound trade-offs under pressure.
• An active TS/SCI clearance, or eligibility to obtain one.

Responsibilities

• Embed with government customers to understand their mission, scope the problem, and turn it into working software.
• Own delivery end-to-end: design, build, deploy, and maintain solutions at customer sites, from prototype to stable production.
• Build robust backend systems and data integrations that connect customer environments to Scale’s platform and back.
• Partner with product and engineering to feed field signals back into the roadmap, so patterns become reusable capabilities.
• Serve as the technical point of contact for customer stakeholders, guiding adoption and maximizing mission impact.

Skills

Python

TypeScript

Cloud platforms

Containers

Linux

Networking fundamentals

TS/SCI clearance

Tools

Kubernetes

Docker

Terraform

Job description

Scale AI's Public Sector Engineering team embeds engineers with U.S. government customers to build and deploy AI applications that support critical missions.

This is a hybrid, customer-facing role with end-to-end ownership from prototype to production, delivering software adopted in the field. You will design backend systems and data integrations and collaborate to incorporate field signals into the roadmap.