Staff Software Engineer, AI Developer Tooling
Scale AI · San Francisco, CA; New York, NY · San Francisco, CA
Infrastructureonsitestaff
At a glance
Highlights
- Redefine how engineers build, test and deploy software using AI tools.
- Build next-gen AI dev tooling powering world-leading LLMs and models.
- Join Platform Engineering at foundation of Scale's Generative AI Data Engine.
What they offer
- Base salary
- Equity
- Benefits
Ideal candidate
Experienced platform engineer who loves improving how teams build software and mentoring engineers at all levels. You are energized by AI-assisted development and independently owning high-impact tooling.
Requirements
- 8+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems
- Extensive experience defining and evangelizing best-practices for AI development tools, including cost guardrails and security frameworks
- Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)
- Experience configuring, testing, and enabling MCP servers, AI agents, and other associated systems
- Track record of independent ownership of successful engineering projects
- Excellent communication and collaboration skills, able to translate complex technical concepts to non-technical stakeholders
- Experience with infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes
- Experience with modern web frameworks like NodeJS, NextJS
- Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Helm, ArgoCD)
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta
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