Staff Software Engineer, Public Sector

Scale AI
Full-timeStaff
$189K - $362K/yr

AI Tools

LLMRAGagent orchestrationagentic workflowsprompt engineering

Tech Stack

PythonAWSAzureGCPDockerKubernetesLLMRAG

Agent Workflow

Create multi-layered guardrails around agents. Optimize data retrieval for agents. Orchestrate fleets of asynchronous agents. Define technical strategy for agentic guardrails, explainability, and fleet orchestration.

About the Role

Scale AI | Public Sector | Staff Software Engineer

The Public Sector software engineers develop core product building blocks for forward-deployed teams creating agentic capabilities across multiple domains.

Key Capabilities 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

Primary Responsibilities

  • Orchestrate feature implementation across Federal teams for architectural consistency
  • Define technical strategy for agentic guardrails, explainability, and fleet orchestration
  • Ensure system reliability across multiple security classifications
  • Mentor engineers on stakeholder requirement definition and acceptance gathering
  • Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members
  • Influence long-term product strategy for Federal business unit
  • Consult on AI-powered solution architecture for large-scale federal contracts

Required Skills & Tech Stack

  • Full Stack Development: Front-end, back-end, infrastructure; modern web frameworks, programming languages, databases
  • Cloud-Native Technologies: AWS, Azure, GCP; Docker containerization; Kubernetes orchestration
  • Data Engineering: ETL processes, data pipelines, diverse data source integration; data modeling, warehousing, governance
  • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration.
  • Collaboration & Communication: Cross-functional teamwork, stakeholder engagement
  • Adaptability: Learning agility, technology adoption

Salary Ranges

  • San Francisco, New York, Seattle: $252,000 - $362,000
  • Washington DC, Texas, Colorado: $227,200 - $326,000
  • St. Louis: $188,800 - $272,000

Benefits include equity grants, comprehensive health coverage, learning stipends, and PTO.

Apply Now
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