Base Salary
$135k - $259k/yr
Responsibilities
- Design and implement scalable backend systems for federal customers using cloud-native AI infrastructure.
- Build agentic features including multi-layered guardrails, data retrieval optimization, asynchronous agent orchestration, automated deviation alerts, and decision explanations.
- Develop data pipelines and machine learning infrastructure to make diverse data sources accessible by agents.
- Collaborate with cross-functional teams to deliver backend solutions for secure environments.
- Participate in customer engagements to understand requirements and deliver technical solutions.
- Define requirements with stakeholders and implement features through stakeholder acceptance.
- Contribute to the Federal business platform roadmap and product strategy.
Requirements
- Proficiency in front-end and back-end development, infrastructure, modern web development frameworks, programming languages, and databases.
- Familiarity with AWS, Azure, or GCP and developing and deploying applications in cloud-native environments.
- Knowledge of ETL processes, data pipelines, data modeling, data warehousing, and data governance principles.
- Familiarity with integrating large language models and building agentic workflows, with understanding of prompt engineering, retrieval-augmented generation, and agent orchestration beneficial.
- Understanding of Docker and Kubernetes is a plus.
- Strong analytical, problem-solving, collaboration, communication, adaptability, and learning-agility skills.
- Ability to articulate technical concepts to non-technical audiences and work effectively with stakeholders and customers.
Benefits
- Comprehensive health, dental, and vision coverage.
- Retirement benefits.
- Learning and development stipend.
- Generous paid time off.
- Potential commuter stipend depending on eligibility.
- Full-time position with location-specific base salary ranges for San Francisco, New York, Seattle, Hawaii, Washington DC, Texas, Colorado, and St. Louis.
Categories
About Scale AI
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We provide the high-quality data and full-stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. The Scale Generative AI Platform allows customers to build, evaluate, and control advanced AI agents and applications that continuously improve. The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets. Through our Scale Labs, we test models with rigorous benchmarks and novel research to ensure breakthroughs translate into systems people can trust. Scale powers the most advanced LLMs and generative models in the world through RLHF, data generation and model evaluation. We work with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.