Senior Software Engineer, Public Sector
Scale AI · San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC · San Francisco, CA
CHECKED 16H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Ingest federal datasets to support real-time decisions in contested environments.
- Orchestrate fleets of asynchronous agents to meet Federal mission requirements.
- Create multi-layered guardrails and explain how agents reach decisions.
What they offer
- base salary
- equity
- benefits
Ideal candidate
A mission-driven full-stack builder who thrives leading features end-to-end for Federal customers and translating operational needs into deployed agentic capabilities.
Requirements
- Full stack development across front-end, back-end and infrastructure
- Cloud-native development with AWS, Azure or GCP, Docker and Kubernetes
- Data engineering including ETL pipelines and data modeling
- AI application integration with LLMs, RAG and agent orchestration
- Strong analytical problem-solving for complex technical challenges
- Collaboration and communication with cross-functional teams and customers
- Adaptability and learning agility with evolving requirements
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta