openashbyhqfoothillventures
Senior Applied AI Engineer
Bubble
LocationNYC, New York
EmploymentFullTime
Posted2025-10-23T16:08:58.898+00:00
Last observed2026-06-13 05:22:59.664955
Job idfoothillventures-bubble:ashbyhq:32a3ade2-1e62-4ad9-9ab8-32036d6f7b6b
We built Bubble with a clear mission: to empower everyone to create software. Our AI visual development platform lets anyone, from first-time entrepreneurs to enterprise teams, take an idea from prompt to fully-functional, scalable app across web, iOS, and Android. With over 6 million users in more than 100 countries, Bubble is breaking down the barriers to entrepreneurship and innovation worldwide. Our Product Bubble is the only fully visual AI app builder that lets you vibe code without the code to go beyond prototypes and launch real apps to real users. Chat with AI when you want speed, edit directly when you want control. Bubble's visual editor lets you fine-tune any detail, from the design to privacy rules and programming logic, so you're never stuck, even if AI hits its limits. Everything you need comes built in: a unified web and native mobile editor, enterprise-grade hosting, security, database management, and automatic scaling that grows with your business. You can build just about anything https://bubble.io/app-gallery on Bubble, and our community is living proof. Mailead https://bubble.io/showcase/mailead grew a $10K investment into a $2M valuation, and Faceless.video http://Faceless.video went from zero to $1M+ ARR in under a year. People aren't just launching products on Bubble, they're building real businesses. See how Bubble builders are shipping apps that change industries, solve problems, and shape the future here: Inspiring builders, breakthrough apps https://bubble.io/customers. Why Join Bubble Now? The rise of AI-generated software has validated everything Bubble has been building toward for over a decade. But pure AI-generated code is fragile, hard to debug, and rarely production-ready. Bubble bridges that gap, combining the speed of AI with a structured visual platform that produces stable, scalable, secure software. The people who join Bubble right now will help define what that means for millions of builders around the world. If you've ever wanted to work on something that genuinely changes who gets to build, this is your moment. ABOUT THE TEAM: We’re expanding our AI Engineering Team to build next-generation AI-powered development workflows—enabling users to describe their applications in natural language and have AI generate, modify, and enhance their apps seamlessly. As an Applied AI Engineer, you will help define and ship the future of AI-powered development at Bubble. This is an engineering role, not a research role. You’ll own LLM-driven product features end-to-end, design agentic workflows that real users depend on, and collaborate closely with Product, Infrastructure, and Research to push the limits of AI-driven development. You’ve shipped LLM-powered features in production. You know what makes agents fail. You’re comfortable moving across TypeScript and Python. If that’s you, read on. What You'll Do: - Design and build agentic workflows that enable multi-step AI-driven app generation for real users at scale. - Improve LLM reasoning and retrieval techniques to enhance Bubble’s AI-powered development tools. - Build and maintain production LLM pipelines—including prompt engineering, evaluation frameworks, and latency optimization. - Fine-tune and optimize LLMs for AI-assisted app-building workflows using proprietary Bubble datasets. - Own AI feature quality end-to-end: from prototype through eval, deployment, and monitoring. - Work closely with the AI team to scale AI research into production systems. About you: 5+ years of industry experience as a Software or Machine Learning Engineer, or a Master’s/PhD in AI, ML, or NLP with 3+ years of production experience. - A track record of shipping LLM-powered features in production—not just API integrations, but real systems with evals, monitoring, and iteration. - Hands-on experience building agentic AI workflows and debugging multi-step agent failures. - Strong command of RAG, context engineering, and retrieval pipeline design. - Experience with transfo
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