Software Engineer, Public Sector
$135k - $259k • Remote • San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC
Posted 5d 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 (SWEs) create the core product building blocks that forward-deployed teams use to develop agentic capabilities across multiple domains. SWEs are responsible for building systems to ingest and process federal datasets for real-time decision-making in contested environments. You will own the development of a vertical feature or a horizontal capability, from defining requirements with stakeholders to implementation and acceptance. You will design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure.
Responsibilities
- Create multi-layered guardrails around agents
- Optimize data retrieval for agents
- Orchestrate fleets of asynchronous agents
- Automatically alert users to data deviations
- Illustrate how an agent reached a decision
- Build features for agentic systems including multi-layered guardrails and data retrieval optimization
- Develop data pipelines and machine learning infrastructure for agent data access
- Collaborate with cross-functional teams on backend solutions for secure environments
- Participate in customer engagements to understand requirements and deliver technical solutions
- Define requirements with stakeholders and implement features until accepted
- Contribute to the platform roadmap and product strategy for the Federal business
Requirements
- Proficiency in full-stack development (front-end, back-end, infrastructure)
- Experience with modern web development frameworks, programming languages, and databases
- Familiarity with cloud platforms (AWS, Azure, GCP)
- Experience developing and deploying applications in a cloud-native environment
- Understanding of containerization (Docker) and container orchestration (Kubernetes) is a plus
- 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 is beneficial
- Strong analytical and problem-solving skills
- Excellent interpersonal and communication skills
- Willingness to embrace new technologies and learn new skills
Benefits
- Base salary
- Equity
- Comprehensive health, dental, and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Commuter stipend