Solution Engineer

Quick Facts

• Role: Solution Engineer (Core deployment team)

• Focus: End-to-end deployment of physical AI agents in real venues

Description

You will be embedded with the deployment team to ship physical AI agents—AI-powered, embodied systems that interact in the real world. You will build, test, and deploy hardware + software for venues like airports, stadiums, and conference centers, including on-site setup and debugging when conditions change. You will also present demos to customers and partners, explain the system to both technical and non-technical audiences, and feed real-world observations back to engineering and product.

Responsibilities

• Build, test, and deploy physical AI hardware systems end to end for real venues

• Set up screens, sensors, networking gear, and edge compute devices; debug on site

• Write production code powering the AI agents (Python, TypeScript, APIs, integrations)

• Lead and support deployments at major events and high-profile locations

• Present demos and communicate how the AI works to diverse audiences

• Capture field observations to improve the product

Requirements

• Experience delivering enterprise software at a startup or running enterprise projects at a consulting firm; ability to manage delivery end to end

• Strong coding ability in Python and/or JavaScript/TypeScript; experience building and shipping beyond initial specs

• Real excitement for AI systems (LLMs, computer vision, multimodal models)

• Willingness to work with physical hardware on site and troubleshoot under real conditions

• Clear communication skills with customers/partners and non-technical stakeholders

• Ability to thrive in chaos and high-stakes, fast-moving deployments

Benefits

• World-stage experiences deploying AI at major events

• Full-stack ownership across AI + software + hardware + customer-facing work

• Mentorship from founders and senior engineers

• Competitive salary, equity, and benefits