Systems AI Engineer I: Multi-Agent Workflows & ML Ops

Jobverse.io; Florida; On-site; USD 70,000 - 110,000; Full time

Job summary

Verizon is seeking an Engineer I - Systems Engineering to build and deploy generative AI and agentic systems for operational tools. The role focuses on multi-agent workflows, graph-driven data pipelines, APIs and voice AI features, machine-learning models, and production deployment.

You will architect and implement stateful AI workflows, integrate graph databases like Neo4j with Pandas data wrangling, and deliver production-grade microservices.

Qualifications

• Experience designing and deploying AI-powered workflows.
• Hands-on with CI/CD and MLOps practices.
• Proficiency in Python and Node.js for backend services.

Responsibilities

• Architect and build stateful, multi-agent AI workflows.
• Design data pipelines linking graph databases with search and caching layers.
• Develop APIs and voice AI features for mobile apps.
• Train and refine ML models with PyTorch and TensorFlow.
• Automate build and deployment pipelines using Jenkins and Docker.

Skills

LangGraph

LangChain

Graph databases

Neo4j

Python

Node.js

PyTorch

TensorFlow

MLOps

Docker

Jenkins

APIs

Tools

Docker

Jenkins

Job description

Verizon is seeking an Engineer I - Systems Engineering to build and deploy generative AI and agentic systems for operational tools. The role focuses on multi-agent workflows, graph-driven data pipelines, APIs and voice AI features, machine-learning models, and production deployment.

You will architect and implement stateful AI workflows, integrate graph databases like Neo4j with Pandas data wrangling, and deliver production-grade microservices.