AI Engineer

Hands-on role building and operating Nebuly's core AI systems: design, train and iterate classification and taxonomy models (multi-label, rule-based/LLM hybrids); build ingestion and enrichment pipelines at scale; improve PII detection; contribute to ROI product, MCP server, automated testing and LLM inference efficiency; troubleshoot production model and data issues; run PoCs and collaborate with Product and Engineering. Requirements: 1-3 years building/shipping ML/AI systems in production, strong Python, experience with classification systems, PostgreSQL/ClickHouse or similar, testing and evaluation skills, customer-facing communication skills.