@ 1001ai
Applied AI Engineer (Senior) at 1001 AI (P0). Bridges the gap between deep ML and full-stack engineering. Takes ML prototypes and ships them as production-grade AI features inside enterprise deployments.
Responsibilities: Take ML prototypes and make them production-ready – APIs, services, evaluation harnesses, monitoring; turn ambiguous product asks into working AI workflows, not just wrapping models with APIs; build sophisticated AI features from product requirements without needing to do the underlying ML research; work across multiple live enterprise deployments as part of the core engineering team; own end-to-end systems from model code through to product surface; mentor junior engineers.
Requirements: 6+ years as a software engineer, with at least 2 of those years deploying and maintaining ML models in production; engineering-first profile – not a research profile, but ML-literate; strong fundamentals (distributed systems, APIs, data pipelines, testing); hands-on with modern LLM and agent tooling (LangChain / LlamaIndex / DSPy or equivalent, vector stores, eval/observability); production TypeScript and Python; track record of shipping ML-backed features at a top-tier tech company, AI lab, or fast-moving startup; top CS / engineering degree or equivalent demonstrated experience.
Company: 1001 AI is building an AI-native OS for critical industries in MENA. Lux / GC / CIV backed. Mostly ex-Scale AI / Palantir team. London + GCC.