Software Engineer, Public Sector - New Grad

At Scale, our mission is to develop reliable AI systems for the world's most important decisions.

As a New Grad Software Engineer on the Public Sector team, you will own meaningful, mission-facing work from day one: shipping features, sitting with government stakeholders who use them, and iterating fast.

Responsibilities

• Build multi-layered guardrails that keep agents safe and predictable in high-stakes federal environments
• Optimize data retrieval for agents, including RAG pipelines over large, heterogeneous federal datasets
• Build orchestration for fleets of asynchronous agents running long-horizon tasks
• Develop systems that automatically alert users to deviations and anomalies in incoming data
• Create interfaces that illustrate how an agent reached a decision, so operators can audit and trust its output
• Develop data pipelines and ML infrastructure that make previously siloed government data sources accessible to agents
• Build evaluation infrastructure that measures model reliability against mission requirements
• Ship full-stack tooling that lets analysts query, visualize, and explore mission data
• Deploy and harden applications into secure, air-gapped, and cloud-native government environments

Requirements

• A graduation date in Fall 2026 or Spring 2027 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics)
• Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to users, figuring out 'what' to build and then iterating
• Previous Product/Software Engineering internship experience
• Track record of shipping high-quality products and features at scale
• Experience building systems that process large volumes of data
• Experience with Python, Typescript, React, and/or MongoDB
• Strong written and verbal communication , you will work directly with government stakeholders and must be able to explain technical concepts to non-technical audiences
• Comfort with ambiguity and evolving requirements, and a willingness to learn new domains quickly

Nice to Have

• Hands-on experience with LLMs, evaluations, or agentic systems , whether from internships, research, or personal projects
• Familiarity with cloud platforms (AWS, Azure, GCP), containerization (Docker), and orchestration (Kubernetes)
• Exposure to ETL, data modeling, data warehousing, or data governance
• Prior experience with, or demonstrated interest in, national security, defense, or civil government technology
• Open source contributions or a portfolio of shipped side projects

Benefits

• Comprehensive health, dental and vision coverage
• Retirement benefits
• A learning and development stipend
• Generous PTO
• Commuter stipend