Engineer I - Systems Engineering

About the role

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.

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.

Requirements

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.
• 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 LangGraph.
• Data & 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.

Qualifications

Preferred qualifications include:

• Experience with Generative AI frameworks.
• Knowledge of edge computing technologies.
• Experience with Kubernetes for orchestration.
• Understanding of distributed systems and microservices architecture.

Skills

Essential skills include:

• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and as part of a team.
• Attention to detail and ability to manage multiple projects simultaneously.

Benefits

Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a 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 and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package.