> Markdown version of [/jobs/ext/2711766-founding-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2711766-founding-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Founding AI Engineer - **Company:** Facility Dynamics Engineering Corporation - **Location:** San Lorenzo, CA, United States - **Salary:** $165,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Distributed Systems, Python (Programming Language), Machine Learning, Unstructured Data, ReactJS, Large Language Models, Multi-Agent Systems, Backend - **Published:** September 4, 2026 - **Apply:** https://www.disabledperson.com/jobs/74812974-founding-ai-engineer ## About the Role * 6+ years of relevant engineering experience. * 2+ years at a recognized big-tech company and 1+ year at a startup. * Strong experience building resilient and distributed systems. * Strong Python experience; React and experience across multiple languages are valuable. * Hands-on experience deploying AI/ML models into production. * Experience with LLMs, VLMs, RAG, or agentic systems. * Strong product and engineering judgment. * Comfort working in fast-moving, ambiguous environments. * A genuine interest in taking ownership rather than waiting for detailed specifications. The underlying profile is someone who can sit comfortably across backend systems and applied AI, while carrying founding-level ownership of what gets built and shipped. ## Description We're looking for a Founding AI Engineer who can work across backend engineering and applied AI, with the ownership to take systems from problem definition through production. This is a founding-level opportunity where you'll work closely across engineering and product rather than operating within a narrowly defined function. The work * Build resilient, secure, distributed backend systems. * Deploy LLMs, VLMs, and other ML models into real-world production environments. * Build agentic systems that can reason, plan, and take actions across data. * Design RAG pipelines and other systems for unstructured data. * Work with structured data, including query planning, semantic modeling, and structured reasoning. * Work across multiple infrastructure providers and technologies. * Help turn ambiguous problems into production-ready systems. * Own meaningful parts of what gets built and shipped. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [You are not an AI developer](https://www.wearedevelopers.com/videos/1148-you-are-not-an-ai-developer) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)