Role - AI/ML Engineers Location: Iselin, NJ, Charlotte, NC or Chandler, AZ Hiring 2 levels: 3-5 years for LEVEL 3 6-8 years for LEVEL 4 12+ months with possibility to convert Hybrid onsite 2 days / 3 days remote Required skillset – 4-8 years experience for the two levels, experience in the following is required • Must have a strength in Python development with specific experience in NumPY ideally • Must have one of the following: Google Dialog Flow; Playbook • Must be familiar with ADK • Must have cloud experience, ideally in GCP but Azure or AWS are acceptable – will easily pick up GCP • Must be able to work within Kubernetes or similar AI/ML skillset requirements: • Proven experience in Conversational AI and synthetic agent development, especially within Google Cloud environments (or any flavor of cloud) • Hands-on expertise with GenAI orchestration tools (LangGraph , LangChain, ReACT, LLMs, etc.) • Strong background/exposure to real-time, event-driven architectures and cloud-native technologies (GCP, Kafka, Pub/Sub, Big Table). • Deep understanding of MLOps practices for scalable AI deployment and monitoring. • Experience in Responsible AI (RAI) within highly regulated industries. Day to Day • Build smart AI agents using Google's Conversational Platform and playbooks to improve automated interactions. • Use tools like LangGraph, LangChain, and large language models (LLMs) to manage multiple AI agents working together. • Apply machine learning and MLOps best practices to easily deploy, monitor, and maintain AI models. • Ensure AI is reliable and fair by adding real-time fixes for errors, setting up rules and guardrails, and meeting industry regulations like those in Fintech. MUST INLCUDE THIS MATRIX Please provide your years of experience in the following: • Python development • NumPY • Kubernetes • GenAI orchestration tools • LangGraph • LangChain • ReACT, LLM • Conversational AI • GCP (Google Cloud) or similar • MLOps practices • ML frameworks • ResponsibleAI (RAI) Must have one of the following: • Google Dialog Flow Playbook