Engineer I-Systems Engineering

Verizon • Temple Terrace, FL

8d • Hybrid

About The Position

As an Engineer I - Systems Engineering (Generative AI & Agentic Systems), you will build autonomous agentic frameworks, graph-driven retrieval pipelines, microservices, and edge voice-activation features for operational tools. You will help deploy intelligent agents that power real-time Next Best Action decision engines for field operations and support teams. The role involves engineering stateful, multi-agent AI workflows; developing graph and data pipelines; building APIs and voice AI features; creating and evaluating machine-learning models; managing CI/CD and MLOps; and delivering production-grade enterprise applications. The role is hybrid, with a defined work location that includes working from home and a minimum of three days per week in the office.

Requirements

• Bachelor’s degree or one or more years of relevant experience, demonstrated through work experience and/or military experience.
• Experience in software engineering or systems engineering with AI/ML development.

Nice To Haves

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
• 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 such as Elasticsearch and caching layers such as Redis.
• Practical experience building multi-agent AI systems with LangChain and LangGraph.
• Hands-on experience with graph databases such as Neo4j and data manipulation libraries such as Pandas.
• Experience managing CI/CD automation using Jenkins, containerizing applications with Docker, and using Git for version control.

Responsibilities

• Architect, build, and maintain stateful, multi-agent AI workflows using LangGraph and LangChain.
• Design and optimize data architectures connecting graph databases such as Neo4j with search and caching layers.
• Use Pandas for data wrangling, feature engineering, and processing unstructured datasets.
• Build backend services and APIs using Node.js and Python.
• Integrate edge-compatible voice wake-up word features and speech processing into mobile applications for field technicians.
• Build, fine-tune, and evaluate machine-learning models for natural language processing and decision flows using PyTorch and TensorFlow.
• Automate build and deployment pipelines using Jenkins and Docker.
• Write production-grade code, participate in code reviews, and collaborate to turn prototype AI models into reliable production applications.

Benefits

• Medical, dental, and vision benefits.
• Short- and long-term disability insurance.
• Basic and supplemental life insurance and AD&D insurance.
• Identity theft protection.
• Pet insurance and group home and auto insurance.
• Matched 401(k) savings plan.
• Up to 8 company-paid holidays per year and up to 6 personal days per year.
• Paid parental leave.
• Adoption assistance.
• Tuition assistance.
• Potential incentive compensation and premium pay, such as overtime, shift differential, holiday pay, or allowances, depending on the role.
• Up to 15 days of vacation per year for newly hired employees, increasing with additional service.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level