Software Engineer - AI Enablement
San Francisco, United States
- Posted 1mo ago
- From Scale AI’s careers page
- Location
- San Francisco, United States
- Experience
- 3+ years
- Department
- Engineering
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About the role
What You’ll Do
- 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
Ideal Experience
- 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
What We Value
- Strong product intuition and customer empathy
- Entrepreneurial mindset, building and implementing agentic workflows
- Ownership mentality — you see problems through to outcomes
- Comfort collaborating across engineering, product, data science, and applied AI
- Excitement about building agentic systems that make AI genuinely useful in the real world
Skills they ask for
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About Scale AI
Reliable AI systems for critical decisionsScale AI develops data and AI systems used to support reliable AI and critical decisions across the AI stack.
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