Solutions Engineer – Physical AI

United States·Palo Altomid

SalesSales Engineer

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Quick Summary

Key Responsibilities

Lead the implementation, integration, and deployment of Physical AI agents across enterprise and public-facing environments. Software Development: Develop and maintain applications, APIs,

Requirements Summary

Diagnose and resolve software, hardware, and connectivity issues during on-site deployments. Cross-Functional Collaboration: Work with engineering, product,

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SalesSales Engineer

About the Role

~1 min read

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.

Responsibilities

~1 min read

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End-to-End Solution Delivery: Lead the implementation, integration, and deployment of Physical AI agents across enterprise and public-facing environments.
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Software Development: Develop and maintain applications, APIs, and integrations using Python, JavaScript, or TypeScript.
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Hardware Integration: Configure, install, and troubleshoot hardware systems, including displays, sensors, networking equipment, and edge computing devices.
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Customer Engagement: Partner directly with customers to understand technical requirements, deliver product demonstrations, and ensure successful implementation.
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Technical Troubleshooting: Diagnose and resolve software, hardware, and connectivity issues during on-site deployments.
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Cross-Functional Collaboration: Work with engineering, product, and business teams to translate customer feedback into product improvements.
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Project Ownership: Manage technical deliverables, deployment timelines, and implementation quality in a fast-paced startup environment.

Requirements

~1 min read

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.

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.