Solution Engineer

Job DescriptionJob DescriptionSolution 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.APN Job ID: 171545About Us IntelliPro Group Inc. is a global staffing and talent solutions company. We connect exceptional professionals with leading organizations across technology, engineering, and professional services. By partnering closely with both clients and candidates, we build long-term relationships that help businesses grow and careers thrive.Powered by JazzHRC6XB1n0Ffn