AI Enablement Engineer: Build Agentic Workflows

AI Chopping Block; 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, Scale's enterprise Generative AI platform, is seeking a sharp, product-minded engineer to build the next generation of agent-powered tools grounded in real operational workflows.

Based in San Francisco, you will own full-stack features from design to production, collaborating with product, forward-deployed engineers, data scientists, and applied AI teams to turn real-world problems into scalable production solutions.

Qualifications

• 3+ years of full-time software engineering experience.
• Solid full-stack fundamentals with 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 — within a larger product area.
• 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

Production ownership

LLMs / AI tools

Distributed systems

Cloud architectures

Job description

Scale GP, Scale's enterprise Generative AI platform, is seeking a sharp, product-minded engineer to build the next generation of agent-powered tools grounded in real operational workflows.

Based in San Francisco, you will own full-stack features from design to production, collaborating with product, forward-deployed engineers, data scientists, and applied AI teams to turn real-world problems into scalable production solutions.