Software Engineer - AI Enablement

<p><strong>Scale GP</strong> is Scale's enterprise Generative AI platform—APIs and infrastructure for knowledge retrieval, inference, evaluation, and intelligent automation. We power mission-critical workflows for leading enterprises, helping teams turn complex data and models into reliable, production-ready AI systems.</p> <p>We're building a new <strong>AI Enablement</strong> team to create the next generation of agent-powered tools that ground AI in real operational workflows. Our goal: help internal teams demystify their own workflows, then deploy agentic systems that reason over data, take action, and deliver measurable outcomes. We don't build in a vacuum. You'll use our own platform to solve real business problems internally—then selectively commercialize that same stack for customers.&nbsp;</p> <p>What we run on is what we sell.</p> <p>This is a 0→1 team. We're looking for a sharp, product-minded engineer who thrives in ambiguity, moves fast, and loves building systems from scratch alongside customers and cross-functional partners. You'll work closely with product, forward-deployed engineers, data scientists, and applied AI teams to turn real-world problems into scalable production solutions.</p> <p>If you like shipping fast, owning outcomes, and working across the stack—from polished frontends to distributed backends to LLM integrations—this role is for you.</p> <h3>What You’ll Do</h3> <ul> <li>Own full-stack features and projects end-to-end — from design through production deployment — within a larger product area</li> <ul> <li>Sample surfaces - Accounting Agents, Finance Copilots, GTM Agents, Agentic Experimentation Platforms</li> </ul> <li>Develop reliable backend services in Typescript/Python, work with distributed systems, data pipelines, and AI/ML infrastructure</li> <li>Integrate LLMs, vector databases, and agentic frameworks to power intelligent workflows</li> <li>Ship quickly through tight experimentation loops while maintaining high quality and re