Software Engineer - AI Enablement
Scale AI · San Francisco, CA · Data, Technology & Systems · listed August 13, 2026
The shape of it
Seniority
Mid level
Experience asked
3+ years
Where
Not stated
Stated pay
$180,000 – $225,000 USD
Requirements listed
1
Length
850 words
In the posting’s own words
We're building a new AI Enablement team to create the next generation of agent-powered tools that ground AI in real operational workflows. Our goal: help internal teams demystify their own workflows, then deploy agentic systems that reason over data, take action, and deliver measurable outcomes. We don't build in a vacuum. You'll use our own platform to solve real business problems internally—then selectively commercialize that same stack for customers.
What it asks for · 1
- Familiarity with LLMs, embeddings, vector databases, or modern AI data products/tools
What the job covers
- 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
Tools and skills named
Models & research
- LLM3×
- Inference
- Machine learning
Data
- Experimentation2×
- Data pipelines
Cloud & infra
- Distributed systems2×
Languages
- Python
- TypeScript
Go to market
- Go-to-market
Ways of working
- Cross-functional
Words the posting leans on
- data6×
- systems6×
- agentic5×
- workflows5×
- building4×
- problems4×
- product4×
- real4×
- customers3×
- llms3×
- outcomes3×
- platform3×
- production3×
- stack3×
- agentic systems2×
- agents2×
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