AI Enablement Engineer: Agentic Workflows

Scale AI, Inc.; San Francisco (CA); On-site; USD 180,000 - 225,000; Full time

Benefits offered by this job

Equity

Health insurance

Dental coverage

Vision coverage

Retirement benefits

Learning stipend

Paid time off

Commuter stipend

Job summary

Scale GP, Scale's enterprise generative AI platform, is hiring a sharp, product-minded engineer to build end-to-end features across frontends to distributed backends with LLM integrations. You will collaborate with product, forward-deployed engineers, data scientists, and applied AI teams to ship production-ready solutions that ground AI in real workflows.

You’ll own projects from design to production, work on samples like Accounting Agents and Finance Copilots, and continuously learn new tools

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.

Responsibilities

• Own full-stack features and projects end-to-end - from design through production deployment - within a larger product area.
• Sample surfaces - Accounting Agents, Finance Copilots, GTM Agents, Agentic Experimentation Platforms.
• Develop reliable backend services in Typescript/Python, work with distributed systems, data pipelines, and AI/ML infrastructure.
• 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 development

LLMs / vector databases

Distributed systems

Backend services (Typescript/Python)

Job description

Scale GP, Scale's enterprise generative AI platform, is hiring a sharp, product-minded engineer to build end-to-end features across frontends to distributed backends with LLM integrations. You will collaborate with product, forward-deployed engineers, data scientists, and applied AI teams to ship production-ready solutions that ground AI in real workflows.

You’ll own projects from design to production, work on samples like Accounting Agents and Finance Copilots, and continuously learn new tools