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Staff Software Engineer, Public Sector

United States, San Francisco, CA Employment contract 188800.00 - 362000.00 USD / Year · Job Posted May 04, 2026
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Job Description

Join the team shaping the future of AI at Scale. 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.

Job Responsibility

  • Create multi-layered guardrails around agents
  • Optimize data retrieval for agents
  • Orchestrate fleets of asynchronous agents
  • Automatically alert users to deviations in data
  • Illustrating how an agent reached a decision
  • Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency
  • 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 the process of defining requirements with stakeholders and gathering acceptance
  • Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale 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

Requirements

  • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases
  • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and 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
  • Data Engineering: Knowledge 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
  • 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 is beneficial.
  • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
  • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment
  • Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering

Nice to have

  • Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes)
  • Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration

What we offer

  • Comprehensive health, dental and vision coverage
  • retirement benefits
  • learning and development stipend
  • generous PTO
  • commuter stipend
  • equity based compensation
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