Embedding VC Solution Engineer at LiveX AI deploying physical AI agents in real-world venues. Builds, tests, and debugs AI-powered hardware systems and writes production code.
Responsibilities
You'll be embedded in our core deployment team — the people who take our AI from the lab to the real world.
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, TypeScript, 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.
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.
Qualification
IdeallyYou codeHardware doesn't scare you (or it doesYou communicate clearly — to a mayorYou thrive in chaosYou're a team player who brings energyFamiliarity with edge computingBackground in CSWhy You'll Love ThisWorld-stage experiencesFull-stackSilicon Valley
Required
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 delivery end to end.
You code. Python, JavaScript/TypeScript, or both. You've built and shipped things that went beyond the spec.
You're genuinely excited about AI — not just the hype, but how LLMs, computer vision, and multimodal models actually work under the hood.
Hardware doesn't scare you (or it does, but you want to learn anyway). You're willing to carry a monitor, run cables, and troubleshoot on-site.
You communicate clearly — to a mayor, a CEO, or a curious bystander at a trade show.
You thrive in chaos. Startups are messy. Deployments have surprises. You stay calm, figure it out, and keep going.
You're a team player who brings energy, not ego.
Preferred
Experience with LLM frameworks (LangChain, LlamaIndex), prompt engineering, or RAG pipelines.
Familiarity with edge computing, IoT, AV systems, or robotics.
Prior startup or hackathon experience where you shipped something under pressure.
Background in CS, EE, information systems, or a related technical field.
Why You'll Love This
World-stage experiences. Your LinkedIn won't say "updated Jira tickets." It'll say "deployed AI at the Super Bowl."
Full-stack, full-real. AI + software + hardware + customer-facing — you'll build a skill set most engineers don't reach until years into their careers.
Silicon Valley, front row. You'll work at the center of the physical AI movement, with the connections and momentum that come with it.