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Senior Software Engineer, Public Sector

United States, San Francisco Employment contract 162400.00 - 311000.00 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. We develop novel agentic enabling capabilities that includes: 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. As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders.

Job Responsibility

  • Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers
  • Manage the full lifecycle of feature development from requirement definition to deployment on classified networks
  • Direct the orchestration of asynchronous agent fleets to meet mission requirements
  • Lead customer engagements to translate mission needs into technical requirements
  • Own the communication with stakeholders to ensure implementation meets defined acceptance criteria
  • Conduct technical reviews and identify risks within machine learning infrastructure and model serving
  • Drive the platform roadmap by providing technical specifications for Federal product offerings

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

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