Backend Engineer with AI Experience

Role : Backend Engineer with AI Experience

Location : Richardson, Texas (Dallas metro area)

Duration: Contract

Job Description:

Responsibilities:

• Backend engineering with a focus on Nvidia AI architectures for agentic AI, distributed retrieval augmented generation, and similar systems.
• Supporting proof-of-concept (POC) workflows related to private 5G and network initiatives.
• Comfortable interacting with customers and attending trade shows/executive briefings.
• Contributing to customer-facing activities as part of a small team.

II. Candidate Qualifications:

Must-haves:

• Experienced backend engineer.
• Nvidia AI architecture experience.
• Hardware/IoT experience.
• Strong networking background (related to private wireless networks).
• Comfortable and conversational in front of customers.

Preferred Skills:

• Familiarity with agentic AI systems.
• Experience with Nvidia tools and libraries.
• Cloud experience (basics of cloud deployment).

Backend Languages: Open to various languages (Python, Java, Golang), but experience deploying Nvidia templates and building connective tissues/scripting is key.

Experience Level: Recognizing limited experience in agentic AI (1-2 years), they value candidates who are good in front of customers and internal stakeholders.

III. Hiring Process:

Screening Interviews

Group Interview: 1-1.5 hours with 3-4 team members, focusing on problem-solving, collaboration, and cultural fit.

Final Round Interview

Timeline: Aim to complete the process within 1-2 weeks for promising candidates.

No technical tests or homework assignments.

IV. Additional Information:

Driving: May require occasional driving for transporting equipment and colleagues to conferences (renting vans, etc.).

Hybrid Work: Variable, but expect 2-3 days onsite per week due to hardware involvement and lab learning. Flexibility is important.

Focus: Leveraging existing templates and architectures provided by Nvidia.

Compute Environment: Primarily on-premise compute managed with Proxmox and Kubernetes due to data sensitivity.

What you'll be doing:

Verizon Technology Development and Integration (TDI) builds directional proof of concepts (PoC's) on top of and in conjunction with Private Wireless Network (PWN) and edge compute deployments. We combine robotics, IoT, and agentic AI into projects that demonstrate the importance of our network offerings to emerging technologies. In this role, you will work closely with a team of SME's to bring your software architecture and engineering capabilities to bear on solving customer facing problems. You will work in a structured team environment with project management and accountability, but are responsible for taking initiative and bringing your voice and expertise to the table.

Need to have:

• Bachelor's or master's degree in computer science, Engineering, or a related field, or equivalent background.
• 7-10 years of relevant work experience.
• Proven experience in back-end development using languages such as Python, Java, or Go.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and containerization technologies (e.g., Docker, Kubernetes).
• Solid understanding of database systems (SQL and NoSQL).
• Familiarity with API design and development (REST, GraphQL).
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with NVidia AI architecture at both the workstation and data center level.

Nice to have:

• Understanding of Wi-Fi and Wireless Radio Access Network technology, including Private Wireless Networks (PWN)
• Experience in robotics and/or IoT
• Strong executive communication and presentation skills, ability to present to non-technical audiences.