Scale AI Define and implement next-generation AI development tooling and frameworks at Scale AI. Lead architecture, design, and implementation of local development, build, test, CI/CD systems while mentoring engineers.
Responsibilities
Define next-generation AI development tooling and frameworks using products like Cursor, Claude Code, OpenAI Codex, and MS Copilot, as well as in-house custom-built solutions.
Drive the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements.
Directly mentor software engineers ranging from new grads to experienced engineers.
Proactively identify opportunities and drive improvements to software development practices, processes, tools, and languages.
Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.
Ideally you’d have:
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, security frameworks, and hosting knowledge-sharing sessions, among others.
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.
Show a track record of independent ownership of successful engineering projects.
Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
Qualification
Experience in buildExperience configuringExperience with infrastructureExperience with modern web frameworks
Required
8+ years of full-time engineering experience post-graduation
Experience in build, test, or CI/CD systems
Extensive experience defining best-practices for AI development tools
Deep understanding of distributed systems and public cloud platforms
Experience configuring, testing, and enabling MCP servers and AI agents
Track record of independent ownership of engineering projects
Experience with infrastructure, containerization, and deployment technologies
Experience with modern web frameworks
Preferred
Experience scaling products at hyper-growth startups.
Experience with modern build systems like Bazel, Buck, Pants, etc.
