Engineer I - Systems Engineering

Verizon is a telecommunications company that connects people and businesses through innovative communication technologies. The Engineer I - Systems Engineering will build and maintain enterprise generative AI and agentic systems, including graph-driven data pipelines, backend APIs, voice AI features, machine learning models, and scalable MLOps deployments for field operations and support teams.

Responsibilities:

• Engineering Agentic Systems: Architecting, building, and maintaining stateful, multi-agent AI workflows using LangGraph and LangChain to automate complex decision-making processes
• Building Graph & Data Pipelines: Designing and optimizing data architectures linking Graph Databases (Neo4j) with search and caching layers, using Pandas for data wrangling, feature engineering, and processing unstructured datasets
• Developing APIs & Voice AI Features: Building robust backend services and APIs using Node.js and Python to integrate edge-compatible voice wake-up word features and speech processing into mobile applications for field technicians
• Building & Optimizing ML Models: Leveraging PyTorch and TensorFlow to build, fine-tune, and evaluate machine learning models for natural language processing and decision flows
• Managing CI/CD & MLOps: Automate build and deployment pipelines using Jenkins alongside Docker containerization to deploy scalable microservices
• Delivering Enterprise Solutions: Write production-grade code, participate in code reviews, and collaborate with team members to turn prototype AI models into reliable, production-grade applications