4 hours ago
Base Salary
$252k - $315k/yr
Responsibilities
- Define next-generation AI development tooling and frameworks using commercial and internally built solutions.
- Architect, design, and implement local development, build, test, continuous integration, and continuous delivery systems.
- Work with stakeholders and internal customers to understand requirements and refine engineering processes.
- Mentor software engineers ranging from new graduates to experienced engineers.
- Identify and drive improvements to software development practices, processes, tools, and languages.
- Present technical information and provide guidance on development processes and technologies.
Requirements
- 8+ years of full-time engineering experience after graduation, including experience with build, test, or CI/CD systems.
- Extensive experience defining and evangelizing best practices for AI development tools, including cost guardrails, security frameworks, and knowledge-sharing sessions.
- Extensive software development experience and deep understanding of distributed systems and public cloud platforms, with AWS preferred.
- Experience configuring, testing, and enabling MCP servers, AI agents, and related systems.
- Track record of independently owning successful engineering projects.
- Strong communication and collaboration skills, including translating complex technical concepts for non-technical stakeholders.
- Experience with infrastructure, containerization, and deployment technologies such as Terraform, Docker, and Kubernetes.
- Experience with modern web frameworks such as NodeJS and NextJS.
- Strong knowledge of software engineering best practices and CI/CD tooling such as CircleCI, Helm, and ArgoCD.
- Preferred experience scaling products at hyper-growth startups and using modern build systems such as Bazel, Buck, or Pants.
Benefits
- Base salary, equity, comprehensive health, dental and vision coverage, retirement benefits, learning and development stipend, generous PTO, and potentially a commuter stipend.
- Full-time position located in San Francisco, New York, or Seattle; the specific location is referenced in the posting subtitle.
Tech Stack
Categories
About Scale AI
Scale AI builds data annotation services and AI development tools for enterprises and government agencies, sold as a platform and managed services. Its products include the Scale Generative AI Platform for building and evaluating agents and the Data Engine for collecting, curating, and labeling training data, including RLHF and model evaluation. Founded in 2016 and headquartered in San Francisco, the company is privately held and works across domains from computer vision to LLM applications.