Found Description
Our client is a fast-growing AI infrastructure company building foundational systems for large-scale model training and deployment. The team works at the intersection of applied AI research and production engineering — turning cutting-edge model capabilities into robust, scalable infrastructure that powers real-world AI products. Backed by a strong technical culture and rapid iteration pace, the company is expanding its engineering team to support growing infrastructure and platform demands across training, inference, and agentic systems.
Responsibilities
- Build full-stack AI product capabilities — LLM / multimodal / Agent UI, backend APIs, task workflows, state management, and service integrations
- Build application infrastructure — Prompt / Skills / MCP / Tools integration, driving models from experimental prototypes to stable, deliverable product capabilities
- Build scalable backend services — auth, quotas, caching, async tasks, data pr...