This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are seeking a strong Senior Full-Stack Engineer to help us build, scale, and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack—from React/TypeScript frontends to Python-based backends—while integrating with LLMs and machine learning systems. You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment.
Job Responsibility:
Own major full-stack product areas, driving features from design through production deployment
Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness
Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components
Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences
Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers
Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP
Adapt quickly—learning new technologies, frameworks, and tools as needed across the stack
Requirements:
5+ years of full-time engineering experience, post-graduation
Strong experience developing full-stack applications using React, TypeScript, and Python
Experience scaling or shipping products at high-growth startups
Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome)
Proficiency with SQL and modern API development
Experience with Kubernetes, containerization, and microservice architectures
Experience working with at least one major cloud provider (AWS, GCP, or Azure)