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Open nowPosted today

Engineer I-Systems Engineering

Verizon1,152 open roles

Where
Temple Terrace, Florida
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Your applicationOpen nowEngineer I-Systems EngineeringVerizon · Temple Terrace, Florida

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Verizon's own form.

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The clock on this job

Early applications get read.

12.8% of postings close within 7 days. Measured by our own scanner across the market. Verizon postings stay open a median of 14 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.8%7 days
  4. 20.6%14 days
  5. 35.6%30 days
  6. 58.4%60 days
This job: posted today

Verizon median: 14 days open

The posting

When you join Verizon

You 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 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 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.

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 working

In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

Scheduled Weekly Hours

40

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.

Benefits and Compensation

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. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.

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