Software Engineer, Public Sector
Scale AI · San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC · Washington, DC
CHECKED 14H AGO
Infrastructureonsite
At a glance
Highlights
- Build core product blocks forward-deployed teams use for agentic capabilities.
- Ingest and process federal datasets to support real-time decision-making.
- Orchestrate fleets of asynchronous agents with multi-layered guardrails.
What they offer
- Base salary
- Equity
- Benefits
Ideal candidate
Mission-driven full-stack builder who thrives with customers and cross-functional teams, learns new tech quickly, and cares about shipping reliable agentic systems for high-stakes federal decisions.
Requirements
- Proficiency in front-end, back-end development and infrastructure with modern frameworks, languages, and databases
- Familiarity with cloud platforms (AWS, Azure, GCP) and developing and deploying cloud-native applications
- Knowledge of ETL processes and experience building data pipelines to integrate diverse data sources
- Familiarity with integrating LLMs and building agentic workflows including RAG and orchestration
- Strong analytical and problem-solving skills for complex technical challenges
- Excellent collaboration and communication skills with cross-functional teams and customers
- Adaptability and learning agility to embrace new technologies and 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