2 months ago
Base Salary
$180k - $225k/yr
Responsibilities
- Own full-stack features and projects end-to-end from design through production deployment
- Develop reliable backend services in TypeScript and Python
- Work with distributed systems, data pipelines, and AI/ML infrastructure
- Integrate LLMs, vector databases, and agentic frameworks to power intelligent workflows
- Build sample applications such as accounting agents, finance copilots, GTM agents, and agentic experimentation platforms
- Ship rapidly through experimentation loops while maintaining quality and reliability
- Adapt across the stack and learn new tools to solve problems end-to-end
- Partner with product, forward-deployed engineers, data scientists, and applied AI teams
Requirements
- At least 3 years of full-time software engineering experience
- Solid full-stack fundamentals and production ownership of shipped features
- Familiarity with LLMs, embeddings, vector databases, or modern AI data products and tools
- Exposure to distributed systems and cloud-based architectures
- Ability to collaborate across engineering, product, data science, and applied AI teams
- Strong product intuition, customer empathy, and an ownership-oriented approach
Benefits
- Comprehensive health, dental, and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous paid time off
- Potential commuter stipend
- Full-time position based in San Francisco
Tech Stack
Categories
About Scale AI
Scale AI builds data annotation services and AI development tools for enterprises and government agencies, sold as a platform and managed services. Its products include the Scale Generative AI Platform for building and evaluating agents and the Data Engine for collecting, curating, and labeling training data, including RLHF and model evaluation. Founded in 2016 and headquartered in San Francisco, the company is privately held and works across domains from computer vision to LLM applications.