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Software Engineer, Public Sector

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: Scale AI, Inc.
Full Time position
Listed on 2026-07-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer
Salary/Wage Range or Industry Benchmark: 80000 - 120000 USD Yearly USD 80000.00 120000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer, Public Sector
Location: St. Louis

Overview

The Public Sector software engineers (SWEs) create the core product building blocks forward‑deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real‑time decision‑making in contested environments. We develop novel agentic enabling capabilities that include:

  • Create multi‑layered guardrails around agents
  • Optimize data retrieval for agents
  • Orchestrate fleets of asynchronous agents
  • Automatically alert users to deviations in data
  • Illustrate how an agent reached a decision
Responsibilities
  • Orchestrate the implementation of vertical features and horizontal capabilities at scale with other engineers and stakeholders.
  • Define technical strategy for agentic guardrails, explainability, and fleet orchestration.
  • Ensure system reliability and performance across multiple security classifications and network types.
  • Mentor engineers in defining requirements with stakeholders and gathering acceptance.
  • Communicate high‑level technical trade‑offs and implementation strategies to senior government stakeholders and C‑Suite members.
  • Influence the long‑term product strategy and technical roadmap for the Federal business unit.
  • Consult on the architecture of AI‑powered solutions for large‑scale federal contracts.
Qualifications
  • Full stack development experience: proficiency in front‑end, back‑end development and infrastructure, including modern web frameworks, programming languages, and databases.
  • Cloud‑native technologies: familiarity with AWS, Azure, GCP, containerization (Docker), and orchestration (Kubernetes).
  • Data engineering: knowledge of ETL processes, building data pipelines, data modeling, warehousing, and governance.
  • AI application integration: familiarity with LLMs, prompt engineering, retrieval‑augmented generation, and agent orchestration.
  • Strong analytical and problem‑solving skills.
  • Excellent communication and collaboration skills.
  • Adaptability and learning agility.
EEO Statement

We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please contact  for assistance in the application or recruiting process.

We comply with the United States Department of Labor’s Pay Transparency provision.

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