Solution Engineer

Embedding VC • Mountain View, CA

2d

About The Position

LiveX AI is hiring a full-time Solution Engineer for its core deployment team. The company builds physical AI agents—embodied systems that combine large language models, multimodal AI, and purpose-built hardware to interact with people in real-world environments. The role takes these systems from the lab to venues such as airports, stadiums, conference centers, and retail spaces, with end-to-end ownership of deployments.

The Solution Engineer builds, tests, and deploys AI-powered hardware systems; sets up and troubleshoots screens, sensors, networking gear, and edge compute devices; and writes production software using technologies such as Python, TypeScript, and APIs. The role also involves leading or supporting deployments at major events and locations, presenting demonstrations to customers and partners, explaining the technology to varied audiences, and sharing field observations with engineering and product teams to inform product development.

The position suits someone who can combine software work, hands-on hardware troubleshooting, customer communication, and live-event deployment in a fast-moving startup environment. LiveX AI highlights direct work with founders and senior engineers, opportunities to take on increased ownership, and competitive salary, equity, and benefits.

Requirements

• Experience delivering enterprise software at a startup or running enterprise projects at a consulting firm is preferred as an ideal background; candidates should know how to ship for demanding customers and manage delivery end to end.
• Ability to code in Python, JavaScript/TypeScript, or both, and experience building and shipping beyond a specification.
• Genuine interest in AI, including how large language models, computer vision, and multimodal models work.
• Willingness to handle hardware, carry equipment, run cables, and troubleshoot on-site.
• Clear communication with audiences ranging from technical teammates to customers and event attendees.
• Ability to thrive amid uncertainty, stay calm during deployment surprises, and keep work moving.
• Responsibility, dedication, ownership, and follow-through.
• Ability to learn new tools, technologies, and contexts quickly and deliver results without hand-holding.
• Ability to multitask across code, hardware, customers, and live events.
• Team-oriented approach and positive energy.

Nice To Haves

• Experience with LLM frameworks such as LangChain or LlamaIndex, prompt engineering, or RAG pipelines.
• Familiarity with edge computing, IoT, AV systems, or robotics.
• Prior startup or hackathon experience shipping something under pressure.
• Background in computer science, electrical engineering, information systems, or a related technical field.

Responsibilities

• Build, test, and deploy AI-powered hardware systems at real-world venues, owning deployments end to end.
• Set up and troubleshoot screens, sensors, networking gear, and edge compute devices on-site.
• Write and contribute production software using Python, TypeScript, APIs, and integrations.
• Lead and support deployments at major events and high-profile locations.
• Present demonstrations to customers, partners, and VIPs, and explain the technology to technical and non-technical audiences.
• Share real-world observations with engineering and product teams to influence product development.

Benefits

• Competitive salary
• Equity
• Benefits
• Direct mentorship from founders and senior engineers
• Opportunities for increased ownership and growth

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed