Senior Machine Learning Engineer, CX Intelligence

📋 Description Architect and deploy orchestration layer across vendor and internal LLMs. Build production-grade Python services bridging ML research with customer products. Lead end-to-end ML initiatives from design to delivery. Establish best practices for system design, coding standards, and ML workflows. Mentor engineers on architecture and modern AI/ML patterns. Conduct design reviews for security, scalability, and performance. 🎯 Requirements 5+ years in ML and software engineering shipping production ML services. Hands-on with LLMs and DL; LangGraph, LangSmith, Google ADK, Vertex AI, Bedrock. Strong Python proficiency; production-grade, well-tested code. Specialized knowledge in NLP, information retrieval, CV, or modeling. Able to write technical design docs and present ML architectures to stakeholders. Uses generative AI responsibly with human oversight to improve workflows. 🎁 Benefits Remote-first company with quarterly in-person surges. Equity and bonus eligibility. Medical, dental, and vision benefits.