Senior Software Engineer, Public Sector

Scale AI Scale AI · Data AI · San Francisco, CA · Public Sector Engineering

Senior Software Engineer focused on building core product components for agentic capabilities in the public sector, involving processing federal datasets for real-time decision-making and developing multi-layered guardrails, data retrieval optimization, and agent orchestration.

What you'd actually do

  1. Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers.
  2. Manage the full lifecycle of feature development from requirement definition to deployment on classified networks.
  3. Direct the orchestration of asynchronous agent fleets to meet mission requirements.
  4. Lead customer engagements to translate mission needs into technical requirements.
  5. Own the communication with stakeholders to ensure implementation meets defined acceptance criteria.

Skills

Required

  • Full Stack Development
  • Cloud-Native Technologies
  • Data Engineering
  • AI Application Integration
  • Problem Solving
  • Collaboration and Communication
  • Adaptability and Learning Agility

Nice to have

  • experience with modern web development frameworks, programming languages, and databases
  • experience in developing and deploying applications in a cloud-native environment
  • Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
  • Understanding of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources
  • Understanding of data modeling, data warehousing, and data governance principles
  • prompt engineering
  • retrieval-augmented generation (RAG)
  • agent orchestration

What the JD emphasized

  • building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments
  • Create multi-layered guardrails around agents
  • Optimize data retrieval for agents
  • Orchestrate fleets of asynchronous agents
  • Automatically alerts users to deviations in data
  • Illustrating how an agent reached a decision
  • classified networks

Other signals

  • building agentic capabilities
  • processing federal datasets
  • real-time decision-making
  • developing novel agentic enabling capabilities