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Solution Engineer

Listing for: LiveX AI Inc
Full Time position Listed on 2026-11-09
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 190000 USD Yearly USD 120000.00 190000.00 YEAR

Job Description & How to Apply Below

This Isn’t Your Typical Engineering Job

Imagine this: you’re backstage at the NFL Super Bowl, making sure a physical AI agent is ready to go live in front of millions—and NFL Commissioner Roger Goodell walks by to check it out. A few weeks later, you’re at San Jose International Airport deploying AI alongside City Mayor Matt Mahan. Then you’re at NVIDIA GTC, the world’s biggest AI conference, and you bump into Jensen Huang himself.

That’s not a hypothetical. That’s what our team actually did.

About LiveX AI

LiveX AI is a fast-growing startup headquartered in the San Francisco Bay Area, building the next generation of physical AI agents. Our technology combines advanced large language models, multimodal AI, and purpose-built hardware to create AI experiences that people interact with face-to-face. We’re backed by leading investors and trusted by enterprises, cities, and major event organizers worldwide.

What You’ll Do You’ll be embedded in our core deployment team—the people who take our AI from the lab to the real world.

Here’s what the role looks like:
  • Ship Physical AI Agents: Build, test, and deploy AI-powered hardware systems to real venues—airports, stadiums, conference centers, retail spaces. You’ll own deployments end to end and see your work in action, not just in a staging environment.
  • Get Your Hands Dirty with Hardware: Set up screens, sensors, networking gear, and edge compute devices. Debug on-site. Make AI work in the physical world where Wi‑Fi drops, power flickers, and thousands of people walk by.
  • Write Real Code: Build software that powers our AI agents—Python, Type Script, APIs, integrations. Contribute to the same codebase the rest of engineering works in. Your commits go to production.
  • Work the World’s Biggest Stages: Lead and support deployments at marquee events and high‑profile locations. Previous team deployments include the NFL Super Bowl, San Jose Airport, and NVIDIA GTC. You could be next.
  • Talk to Real Humans: Present demos to customers, partners, and VIPs. Explain how our AI works to both technical and non‑technical audiences. Your communication skills matter as much as your code.
  • Shape the Product: Feed real‑world observations back to engineering and product. When you notice something in the field, your input directly influences what we build next.
Where Our Team Has Been NFL Super Bowl

Physical AI agent deployed at the biggest sporting event in America. Commissioner Roger Goodell experienced the demo firsthand.

San Jose International Airport

AI agent deployed in a live airport environment, unveiled alongside San Jose Mayor Matt Mahan.

NVIDIA GTC

Live deployment at the world’s premier AI conference. Our team had an encounter with NVIDIA CEO Jensen Huang.

How We Evaluate Candidates We hire for the traits that make someone thrive in fast‑moving, high‑stakes deployments. Every candidate is evaluated on four things:
  • Responsibility & Dedication. You take full ownership of your work and follow through. When a deployment is on the line, you do whatever it takes to get it right—and you can be counted on.
  • Speed of Learning. Our stack, our hardware, and our customers change fast. You pick up new tools, technologies, and contexts quickly and turn them into results without hand‑holding.
  • Multi‑Tasking Capability. You juggle code, hardware, customers, and live events at once—often in the same day—and keep all of them moving without dropping the ball.
  • Communication Skills. You explain technical concepts clearly to anyone—a mayor, a CEO, a teammate, or a curious bystander—and you keep the team aligned under pressure.
  • Who You Are
    • Ideally, you’ve delivered enterprise software at a startup, or run enterprise projects at a consulting firm—you know how to ship for demanding customers and manage…
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