Tech Stack
Responsibilities
- Design and deploy multi-step agentic workflows using LLM-integrated frameworks.
- Build API-connected automations that tie together internal tools like Slack, Salesforce, Notion, and internal data systems.
- Develop lightweight internal tools and dashboards that surface AI outputs to business teams.
- Identify friction points in current workflows and propose AI-first replacements.
- Instrument your own work to capture usage signals, time-saved estimates, and adoption metrics.
Benefits
- 401k
- Equity
- Health Insurance
- Learning Budget
Culture
Results-OnlyFast-PacedInclusive HiringEqual Opportunity
Requirements
Required: undergraduate or graduate program in CS, data science, engineering, or related field
Regions: Us
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About Scale
Industry: ai
Size: enterprise
Scale AI is building the data infrastructure behind the world's most capable AI systems, providing high-quality data and full-stack technologies to power leading models and help enterprises and governments deploy AI applications.
View company profile →Compensation
Base salary: $74,400 USD
Equity: equity based compensation, subject to Board of Director approval