Solutions Engineer – Physical AI

IntelliPro Group; Palo Alto (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

IntelliPro Group is seeking a hands-on Solutions Engineer to deploy AI-powered solutions in real-world environments. You will work across software, hardware, and customer-facing roles to deliver integrated solutions at airports, stadiums, retail spaces, and industry events.

The role combines software development, hardware integration, and direct customer interaction, with travel for deployments and events as needed. You will join a dynamic startup focused on Physical AI and innovative AI agents.

Qualifications

• Hands-on experience in solutions engineering, technical consulting, software engineering, or technical implementation.
• Strong programming skills with Python and JavaScript/TypeScript, plus API development and system integrations.
• Comfort working in startup or enterprise technology environments with customer-facing deployments.
• Willingness to travel for deployments and events.

Responsibilities

• Lead end-to-end solution delivery, deployment, and integration across environments.
• Develop and maintain software applications, APIs, and integrations.
• Configure and troubleshoot hardware, networking, and edge devices onsite.
• Engage with customers to capture requirements, demonstrate products, and ensure successful implementation.
• Troubleshoot software/hardware/connectivity issues during deployments.
• Collaborate with engineering, product, and business teams to translate feedback into improvements.
• Own technical deliverables, timelines, and deployment quality in a fast-paced startup.

Skills

Python

JavaScript/TypeScript

APIs

System integrations

Education

Bachelor's degree in CS/EE/IS or related field

Job description

About the Role

We are seeking a hands-on, customer-facing Solutions Engineer to join an innovative, early-stage AI startup focused on Physical AI and intelligent AI agents.

This role combines software engineering, technical solution delivery, hardware integration, and customer engagement. You will work closely with engineering, product, and business teams to deploy AI-powered solutions in real-world environments, including airports, stadiums, retail spaces, and major industry events.

Key Responsibilities

• End-to-End Solution Delivery: Lead the implementation, integration, and deployment of Physical AI agents across enterprise and public-facing environments.

• Software Development: Develop and maintain applications, APIs, and integrations using Python, JavaScript, or TypeScript.

• Hardware Integration: Configure, install, and troubleshoot hardware systems, including displays, sensors, networking equipment, and edge computing devices.

• Customer Engagement: Partner directly with customers to understand technical requirements, deliver product demonstrations, and ensure successful implementation.

• Technical Troubleshooting: Diagnose and resolve software, hardware, and connectivity issues during on-site deployments.

• Cross-Functional Collaboration: Work with engineering, product, and business teams to translate customer feedback into product improvements.

• Project Ownership: Manage technical deliverables, deployment timelines, and implementation quality in a fast-paced startup environment.

Qualifications

• Experience in Solutions Engineering, Technical Consulting, Software Engineering, or Technical Implementation, preferably in a startup or enterprise technology environment.

• Hands-on programming experience with Python, JavaScript/TypeScript, APIs, and system integrations.

• Strong technical troubleshooting and problem-solving skills.

• Familiarity with or strong interest in AI technologies, including LLMs, computer vision, multimodal AI, and AI agents.

• Comfortable working with hardware, networking systems, and on-site technical deployments.

• Excellent communication and customer-facing skills, with the ability to explain complex technical concepts to technical and non-technical audiences.

• Ability to independently manage technical projects and thrive in a dynamic startup environment.

• Willingness to travel for customer deployments and industry events.

Preferred Qualifications

• Experience with LLM frameworks, RAG, prompt engineering, or AI agent development.

• Familiarity with edge computing, IoT, robotics, or audiovisual (AV) systems.

• Experience delivering enterprise software or hardware-integrated solutions.

• Prior experience in early-stage startups or fast-paced technical environments.

• Bachelor's degree in Computer Science, Electrical Engineering, Information Systems, or a related field.

Why Join Us?

• Work on cutting-edge Physical AI technology with real-world applications.

• Own end-to-end deployments, from software development to production.

• Gain exposure to high-profile events, enterprise customers, and strategic partners.

• Join a fast-growing AI startup with significant ownership and career growth opportunities.