Solutions Engineer, Physical AIJoin a Palo Alto AI startup building interactive AI concierges for airports, live events, and retail spaces. Imagine a traveler asking a kiosk for directions and scanning a QR code to take the route with them. As a Solutions Engineer, you'll demo experiences like this to customers, write the integration code, and lead onsite deployments from testing through go-live.
This is a hands-on engineering role. You'll ship production code, set up hardware and networking onsite, and explain how the system works to audiences ranging from engineering teams to customer executives.
LocationPalo Alto, CA • Onsite
EmploymentFull-time
What You'll Do- Lead multiple customer deployments from scoping and testing through installation, launch, and follow-up.
- Write production code in Python, JavaScript, or TypeScript. Build and troubleshoot APIs and integrations that connect AI agents with customer systems.
- Install and configure displays, sensors, networking gear, and edge computing devices. Diagnose hardware, connectivity, and software issues in live environments.
- Lead product demos and technical presentations for customers, partners, and executives, including at public events. Explain technical tradeoffs and next steps in plain language.
- Bring feedback from deployments to Product and Engineering to improve the software, hardware, and rollout process.
What You'll Bring- Experience delivering customer-facing enterprise software or technical implementations and taking responsibility for go-live.
- Hands-on coding ability in Python, JavaScript, or TypeScript, with examples of software or integrations you've shipped.
- Strong spoken and written communication, including the ability to present live demos and answer questions from technical and executive audiences.
- Ability to manage several customer projects, follow through on commitments, and troubleshoot under pressure.
- Willingness to work hands-on with displays, sensors, networking, and other onsite equipment.
- Interest in how large language models, computer vision, and multimodal AI work in production.
Preferred Qualifications- Enterprise software delivery at a startup or technical implementation experience at a consulting firm.
- Experience with LangChain, LlamaIndex, prompt engineering, or retrieval-augmented generation (RAG).
- Familiarity with edge computing, IoT, AV systems, or robotics.
- A background in computer science, electrical engineering, information systems, or a related technical field.
