Software Engineer, Platform

<p>Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.</p> <p>You will:</p> <ul> <li>Own large new areas within our product, driving features from design through production deployment.</li> <li>Work across backend, frontend, and interacting with LLMs and ML models</li> <li>Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components.</li> <li>Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences.</li> <li>Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers.</li> <li>Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP.</li> <li>Adapt quickly—learning new technologies, frameworks, and tools as needed across the stack.</li> </ul> <p>Ideally you'd have:</p> <ul> <li>4+ years of full-time engineering experience, post-graduation</li> <li>Strong experience in Python or Javascript/Typescript</li> <li>Experience scaling or shipping products at high-growth startups.</li> <li>Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome).</li> <li>Proficiency with SQL and modern API development.</li> <li>Experience with Kubernetes, containerization, and microservice architectures.</li> <li>Experience working with