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AI / ML Engineering Lead

AI / ML Engineering Lead

RIT Solutions, Inc.Glendale, CA, United States
30+ days ago
Job type
  • Full-time
Job description

ALL ROLES ARE HYBRID IN THE OFFICE (2-3 DAYS / WEEK) UNLESS REMOTE IS NOTED

Please submit qualified candidates and include FULL LEGAL NAME as it appears on the passport

AI / ML Engineering Lead

Iselin, NJ, Charlotte, NC or Chandler, AZ

12+ months with possibility to convert

Hybrid onsite 2 days / 3 days remote

Required skillset

  • Proven experience in Conversational AI and synthetic agent development, especially within Google Cloud environments.
  • Hands-on expertise with GenAI orchestration tools (LangGraph, LangChain, ReACT, LLMs).
  • Strong background in 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) and regulatory AI governance, especially in Fintech or other highly regulated industries.
  • Track record of cost-efficient AI model deployment, optimizing deterministic vs. probabilistic approaches.

Day to Day

  • Develop Synthetic AI Agents using the Google Conversational Platform and playbooks to enhance automated interactions.
  • Orchestrate multiple Generative AI Agents using LangGraph, LangChain (with ReACT), and LLM tooling for intelligent workflow automation.
  • Architect and implement large-scale, low-latency, real-time systems with a focus on event-driven processing and extended conversational context using Big Table, Time Series, Pub / Sub, and Kafka.
  • Leverage ML frameworks and MLOps best practices to streamline the deployment, monitoring, and maintenance of AI models.
  • Continuously combat AI hallucinations by implementing real-time detection and correction mechanisms, rather than one-time adjustments.
  • Design and implement guardrails, supervisory mechanisms, and observability frameworks to ensure AI transparency, reliability, and explainability.
  • Lead Responsible AI (RAI) initiatives at scale, ensuring compliance with regulatory requirements for industries like Fintech.
  • Optimize cost-efficiency of GenAI solutions through hybrid approaches, balancing deterministic and probabilistic methods.
  • Integrate AI solutions into Google Cloud's native microservices and event-driven architectures, leveraging technologies such as Big Table, Pub / Sub, and AlloyDB.

    • INCLUDE WITH SUBMITS PLEASE

    Please provide your years of experience in the following :

  • GenAI orchestration tools

    • LangGraph

  • LangChain
  • ReACT, LLM
  • Conversational AI
  • Google Cloud
  • MLOps practices
  • ML frameworks
  • ReasonableAI (RAI)
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    Engineering Lead • Glendale, CA, United States

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