AI Enablement Engineer: Build Agentic Workflows

Scale AI, Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 225,000; Full time

Benefits offered by this job

Health, dental and vision coverage

Retirement benefits

Learning and development stipend

Generous PTO

Commuter stipend

Job summary

Scale GP is Scale's enterprise Generative AI platform—APIs and infrastructure for knowledge retrieval, inference, evaluation, and automated AI workflows. We’re building an AI Enablement team to ground AI in real operational workflows and deploy agentic systems that reason over data and take action.

If you like shipping fast and owning outcomes across the stack—from frontends to backends to LLM integrations—this role is for you.

Qualifications

• 3+ years of full-time software engineering experience.
• Production ownership of features you’ve shipped.
• Familiarity with LLMs, embeddings, vector databases, or modern AI data products/tools.
• Exposure to distributed systems and cloud-based architectures.

Responsibilities

• Own full-stack features and projects end-to-end—from design through production deployment.
• Develop reliable backend services in Typescript/Python, work with distributed systems and data pipelines.
• Integrate LLMs, vector databases, and agentic frameworks to power intelligent workflows.
• Ship quickly through tight experimentation loops while maintaining high quality and reliability.
• Adapt across the stack and learn new tools as needed to solve real problems end-to-end.

Skills

Full-stack engineering

Product mindset

LLMs

Distributed systems

Tools

Typescript

Python

LLM integrations

Job description

Scale GP is Scale's enterprise Generative AI platform—APIs and infrastructure for knowledge retrieval, inference, evaluation, and automated AI workflows. We’re building an AI Enablement team to ground AI in real operational workflows and deploy agentic systems that reason over data and take action.

If you like shipping fast and owning outcomes across the stack—from frontends to backends to LLM integrations—this role is for you.