Staff Software Engineer, Public Sector
$189k - $362k • Remote • San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC
Posted 2mo ago
Job Location
San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Agent Engineer
About the job
The Public Sector software engineers at Scale create core product building blocks for forward-deployed teams developing agentic capabilities across multiple domains. This role involves building systems to ingest and process federal datasets for real-time decision-making in contested environments, and developing novel agentic capabilities such as multi-layered guardrails, optimized data retrieval, and asynchronous agent orchestration. As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities, mentor other engineers, and define technical strategy for key agentic components. You will ensure system reliability and performance across various security classifications and network types, and communicate technical trade-offs to senior stakeholders to influence long-term product strategy.
Responsibilities
- 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 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.
- 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.
Requirements
- Proficiency in full-stack development, including front-end, back-end, and infrastructure.
- Experience with modern web development frameworks, programming languages, and databases.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
- Experience developing and deploying applications in a cloud-native environment.
- Knowledge of ETL processes and experience building data pipelines.
- Understanding of data modeling, data warehousing, and data governance principles.
- Familiarity with integrating Large Language Models (LLMs) and building agentic workflows.
- Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration.
- Strong analytical and problem-solving skills.
- Excellent interpersonal and communication skills.
- Willingness to embrace new technologies and adapt to evolving project requirements.
Benefits
- Base salary
- Equity
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Commuter stipend