GenAI Engineer

📋 Description Agentic AI for CX: real-time assistants listen to calls, fetch KBs, draft responses. Schema-driven extraction over unstructured text using retrieval and prompts. Hybrid anomaly detection: time-series methods plus LLM-aware detectors. Novelty discovery: embedding-based clustering, drift, LLM summarization. Alerting & scoring: severity/impact ranking, de-noising, cooldowns, routing. Architect & scale: reliability, latency, cost; canaries and SLAs; GPUs. 🎯 Requirements 7–10 years building production ML/back-end systems 2+ years leading while coding Expert Python; back-end chops (FastAPI, gRPC, Postgres, pub/sub) Agents & RAG: fluency with an agent framework (ADK preferred) LLM prompting, retrieval design, LLM evals; time-series analysis Cloud/ops: infra ownership on GCP/AWS/Azure, CI/CD, IaC, observability Clear communication; explain results, align stakeholders, and docs