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# Engineer I-Systems Engineering

- **Company:** Verizon Communications Inc.
- **Location:** Tallahassee, FL, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, Build Automation, Code Review, Databases, Continuous Integration, Data Architecture, Elasticsearch, Graph Database, Mobile Application Software, Python (Programming Language), Machine Learning, Natural Language Processing, Neo4j, Node.Js, Redis, Tensorflow, Search Technologies, Software Engineering, Speech Recognition, Core Voice Platform, Data Processing, Feature Engineering, Pytorch, Delivery Pipeline, Multi-Agent Systems, Caching, Generative AI, Backend, Agentic-AI, Git, Pandas, Containerization, Information Technology, Production Code, Machine Learning Operations, Data Pipelines, Automation Anywhere, Docker, Jenkins, Microservices
- **Published:** November 4, 2026
- **Apply:** https://www.juju.com/job/7_C0EB2332FDA7671E938FD4CC266D993D

## About the Role

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.What we're looking for...We are seeking a hands-on engineer who brings a strong technical foundation in AI/ML, practical experience with modern GenAI frameworks, and a desire for long-term career growth in our local community.You'll need to have:Bachelor's degree or one or more years of relevant experience required, demonstrated through work experience and/or military experience.

Experience in software engineering, systems engineering with AI/ML development.Even better if you have one or more of the following, Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field.Programming & Backend : Proficiency in Python and Node.js for backend development and API integration.Exposure to voice recognition, keyword spotting (KWS), or voice wake-up word detection systems.Familiarity with vector search engines (Elasticsearch) and caching layers (Redis).GenAI & ML Frameworks: Practical experience building multi-agent AI systems with LangChain and LangGraphData & Databases: Hands-on experience with Graph Databases (Neo4j) and data manipulation libraries like Pandas.DevOps & Automation: Experience managing CI/CD automation using Jenkins, containerizing applications with Docker, and using Git for version control.If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above.Where you'll be workingIn this hybrid role, you'll have a defined

## Description

When you join VerizonYou want more out of a career. A place to share your ideas freely - even if they're daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love - driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together - lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.What you'll be doing...As an Engineer I - Systems Engineering (Generative AI & Agentic Systems), , you will work at the forefront of enterprise AI-building autonomous agentic frameworks, graph-driven retrieval pipelines, microservices, and edge voice-activation features for critical operational tools. You will be instrumental in deploying intelligent agents
that power real-time decision engines (Next Best Action) for our field operations and support teams. You will be responsible for the following but not limited to: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