Software Engineer AI Developer Tooling

Software is eating the world but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor coach assistant personal shopper travel guide and therapist throughout life. As the world adjusts to this new reality leading platform companies are scrambling to build LLMs at billion scale while large enterprises figure out how to add it to their products. 

At Scale our products include the Generative AI Data Engine SGP Donovan and others that power the most advanced LLMs and generative models in the world through world-class RLHF human data generation model evaluation safety and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

At the foundation of these products is the Platform Engineering team. In this role you will redefine how engineers develop build test and deploy software at Scale using AI development tools in addition to traditional practices.  You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises startups governments and large tech companies.

You will:

• 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:

• 4+ 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.
• Experience working fluently with standard infrastructure containerization and deployment technologies like Terraform Docker Kubernetes etc.
• Experience with modern web frameworks like NodeJS NextJS etc.
• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI Helm ArgoCD).

Nice to haves:

• Experience scaling products at hyper-growth startups.
• Experience with modern build systems like Bazel Buck Pants etc.

What We Do

Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR image video and NLP annotation APIs allow machine learning teams at companies like OpenAI Lyft Pinterest and Airbnb focus on building differentiated models vs. labeling data.