Solution Engineer

IntelliPro Group Inc.; Palo Alto (CA); On-site; USD 130,000 - 230,000; Full time

Job summary

IntelliPro Group in Palo Alto is hiring a Solution Engineer to deploy physical AI agents on-site at venues worldwide; you will own deployments end-to-end from lab to live operation.

You will work with Python/TypeScript, handle hardware setup, debugging in live environments, and present demos to customers.

This role suits someone who thrives in startups, communicates clearly, and enjoys solving real-world AI integration challenges.

Qualifications

• Delivered enterprise software at scale for demanding customers.
• Experience shipping products end-to-end in startup or consultancy settings.
• Strong understanding of AI, LLMs, CV, and multimodal tech.

Responsibilities

• Deploy physical AI agents at live venues and events.
• Develop and test Python/TypeScript software powering agents.
• Set up hardware, networking, and edge compute on-site.
• Present demos to customers and partners.
• Collaborate with product and engineering to feed field insights.
• Own deployments end-to-end from staging to production.

Skills

Python

JavaScript/TypeScript

Enterprise software delivery

AI fundamentals

Hardware troubleshooting

Communication

Startup experience

Team player

Education

CS/EE/Information Systems background

Job description

Solution Engineer — Palo Alto, CA (On-site)

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. A few weeks later, you're at San Jose International Airport deploying AI alongside city officials. Then you're at NVIDIA GTC, the world's biggest AI conference.

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

We build physical AI agents — intelligent, embodied systems that interact with people in the real world. Not chatbots on a screen. Real AI that lives in airports, stadiums, conference halls, and beyond. We're looking for a bold, driven Solution Engineer to join our core team full-time and help us deploy these systems on the world stage.

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, 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.

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 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.

Bonus Points

• 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.

Compensation: $130,000 - $230,000 per year (base salary), plus equity.