> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Solution Engineer Canonical URL: https://nextmove.md/fde/jobs/5d7a4075a50418c3 Embedding VC posts a FDE role to build what the customer runs in Mountain View, CA with no pay posted. Deploy physical AI agents in real-world venues, owning the process from hardware setup and software integration through live customer-facing launches. Read from the employer’s posting on November 6, 2026. - [Embedding VC](https://nextmove.md/fde/companies/embedding-vc) Posted Nov 5, 2026 by Embedding VC · open on Ashby as of Nov 6, 2026 Pay not posted Mountain View, CA Hybrid Full-time Deploy physical AI agents in real-world venues, owning the process from hardware setup and software integration through live customer-facing launches. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F5d7a4075a50418c3&placement=top) - [View posting at Embedding VC](https://jobs.ashbyhq.com/embedding-vc/b821e16b-3272-4650-af67-de16eeeb4010/application) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay Not posted Senior FDE postings, 1,849 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds what the customer runs Balance **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept (not covered) 3. Implementation 4. Operations - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Senior - **Role**: Technical lead ### Do you meet what the posting states? The posting reads as a senior role. What level are you at now? The job is in Mountain View, CA. Could you work there? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: Mountain View, CA - **Work arrangement**: Hybrid - **Employment type**: Full-time ## More like this [Casca](https://nextmove.md/fde/companies/casca) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/927bef3af6c8393d) San Francisco, CA On-site 4w ago $160,000–$265,000 [EY](https://nextmove.md/fde/companies/ey) ### [EY-Parthenon - Strategy and Execution - Growth Platforms - AI/ML Engineer - Sr Associate/Consultant](https://nextmove.md/fde/jobs/dcf9fa8686e192dd) New York, NY · Atlanta, GA · +12 more Hybrid 2mo ago $130,000–$185,000 [Uare.ai](https://nextmove.md/fde/companies/uare-ai) ### [Forward Deployed Engineer (U.S. Government / IL5)](https://nextmove.md/fde/jobs/b4730e997dcec701) San Francisco, CA · Los Altos, CA On-site 2w ago $130,000–$170,000 ## The job description from Embedding VC Posted by Embedding VC on Nov 5, 2026 ### This Isn't Your Typical Engineering Job Imagine this: you're backstage at the NFL Super Bowl, making sure a physical AI agent is ready to go live in front of millions — and NFL Commissioner Roger Goodell walks by to check it out. A few weeks later, you're at San Jose International Airport deploying AI alongside Mayor Matt Mahan. Then you're at NVIDIA GTC, the world's biggest AI conference, and you bump into Jensen Huang himself. That's not a hypothetical. That's what our team actually did. At LiveX AI, we build physical AI agents — intelligent, embodied systems that interact with people in the real world. Not chatbots on a screen. Real AI that lives in airports, stadiums, conference halls, and beyond. We're looking for a bold, driven Solution Engineer to join our core team full-time and help us deploy these systems on the world stage. ### About LiveX AI LiveX AI is a fast-growing startup headquartered in the San Francisco Bay Area, building the next generation of physical AI agents. Our technology combines advanced large language models, multimodal AI, and purpose-built hardware to create AI experiences that people interact with face-to-face. We're backed by leading investors and trusted by enterprises, cities, and major event organizers worldwide. ### What You'll Do You'll be embedded in our core deployment team — the people who take our AI from the lab to the real world. - Ship physical AI agents. Build, test, and deploy AI-powered hardware systems to real venues — airports, stadiums, conference centers, retail spaces. You'll own deployments end to end and see your work in action, not just in a staging environment. - Get your hands dirty with hardware. Set up screens, sensors, networking gear, and edge compute devices. Debug on-site. Make AI work in the physical world, where Wi-Fi drops, power flickers, and thousands of people walk by. - Write real code. Build software that powers our AI agents — Python, TypeScript, APIs, integrations. Contribute to the same codebase the rest of engineering works in. Your commits go to production. - Work the world's biggest stages. Lead and support deployments at marquee events and high-profile locations. Previous team deployments include the NFL Super Bowl, San Jose Airport, and NVIDIA GTC. You could be next. - Talk to real humans. Present demos to customers, partners, and VIPs. Explain how our AI works to both technical and non-technical audiences. Your communication skills matter as much as your code. - Shape the product. Feed real-world observations back to engineering and product. When you notice something in the field, your input directly influences what we build next. ### How We Evaluate Candidates We hire for the traits that make someone thrive in fast-moving, high-stakes deployments. Every candidate is evaluated on four things: - Responsibility & dedication. You take full ownership of your work and follow through. When a deployment is on the line, you do whatever it takes to get it right — and you can be counted on. - Speed of learning. Our stack, our hardware, and our customers change fast. You pick up new tools, technologies, and contexts quickly and turn them into results without hand-holding. - Multi-tasking capability. You juggle code, hardware, customers, and live events at once — often in the same day — and keep all of them moving without dropping the ball. - Communication skills. You explain technical concepts clearly to anyone — a mayor, a CEO, a teammate, or a curious bystander — and you keep the team aligned under pressure. - Who You Are - Ideally, you've delivered enterprise software at a startup, or run enterprise projects at a consulting firm — you know how to ship for demanding customers and manage delivery end to end. - You code. Python, JavaScript/TypeScript, or both. You've built and shipped things that went beyond the spec. - You're genuinely excited about AI — not just the hype, but how LLMs, computer vision, and multimodal models actually work under the hood. - Hardware doesn't scare you (or it does, but you want to learn anyway). You're willing to carry a monitor, run cables, and troubleshoot on-site. - You communicate clearly — to a mayor, a CEO, or a curious bystander at a trade show. - You thrive in chaos. Startups are messy. Deployments have surprises. You stay calm, figure it out, and keep going. - You're a team player who brings energy, not ego. ### Bonus Points - Experience with LLM frameworks (LangChain, LlamaIndex), prompt engineering, or RAG pipelines. - Familiarity with edge computing, IoT, AV systems, or robotics. - Prior startup or hackathon experience where you shipped something under pressure. - Background in CS, EE, information systems, or a related technical field. ### Why You'll Love This - World-stage experiences. Your LinkedIn won't say "updated Jira tickets." It'll say "deployed AI at the Super Bowl." - Full-stack, full-real. AI + software + hardware + customer-facing — you'll build a skill set most engineers don't reach until years into their careers. - Silicon Valley, front row. You'll work at the center of the physical AI movement, with the connections and momentum that come with it. - Mentorship that matters. You'll work directly with founders and senior engineers who want to see you grow — not hand you busywork. - Real ownership & growth. Top performers take on more scope fast — leading deployments, owning customers, and shaping the product. - Competitive salary, equity, and benefits. [View posting at Embedding VC](https://jobs.ashbyhq.com/embedding-vc/b821e16b-3272-4650-af67-de16eeeb4010/application) ## About Embedding VC Early-stage AI fund and venture studio investing $100K-$1M checks and incubating new AI-native startups through a hands-on founder residency. 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