Senior Applied AI Engineer
Bubble · NYC, New York
About this role
## Senior Applied AI Engineer ### About Bubble Bubble empowers people to create software. Our AI visual development platform helps anyone take an idea from prompt to a fully-functional, scalable app across web, iOS, and Android—used by **6M+ users in 100+ countries**. Bubble’s visual editor lets you fine-tune details like design, privacy rules, and programming logic—so you can move from prototypes to production with confidence. Learn more: - https://bubble.io/app-gallery - https://bubble.io/customers - https://bubble.io/showcase/mailead - http://Faceless.video ### Why Join Bubble Pure AI-generated code is often fragile and hard to debug. Bubble bridges the gap by combining the speed of AI with a structured visual platform that produces stable, scalable, secure software. ### About the Team We’re expanding our **AI Engineering Team** to build next-generation AI-powered development workflows—enabling users to describe applications in natural language and having AI generate, modify, and enhance apps seamlessly. **This is an engineering role (not research).** 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. ### What You’ll Do - Design and build **agentic workflows** for multi-step AI-driven app generation at scale - Improve **LLM reasoning and retrieval** techniques for Bubble’s AI development tools - Build and maintain **production LLM pipelines** (prompt engineering, evaluation frameworks, latency optimization) - Fine-tune and optimize LLMs for AI-assisted app-building workflows using **proprietary Bubble datasets** - Own AI feature quality end-to-end: prototype → eval → deployment → monitoring - Collaborate with the AI team to scale research into production systems ### About You - **5+ years** industry experience as a Software/ML Engineer, or a **Master’s/PhD** in AI/ML/NLP with **3+ years** production experience - Shipped **LLM-powered features in production** (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 **transformer models**, embeddings, and AI model evaluation - Proficiency in **Python** and comfort working in a **TypeScript/Node.js** codebase - Familiarity with tools like **Hugging Face**, **LangChain**, or **Mastra** - Excellent communication skills and a collaborative, product-minded approach - Alignment with Bubble values: empower others, focus on team/user success, and learn through experimentation ### Compensation & Benefits - Estimated salary: **$201,000 – $261,000** (based on skills, qualifications, experience, and market demand) - Additional annual benefits value: **~$20,000** (includes, but not limited to): - Comprehensive health coverage - 401(k) matching - Wellness and work enablement stipends - Flexible PTO - Sabbatical program ### Location - **Remote-friendly** for candidates authorized to work in the U.S. - Team based in **NYC**, working **Eastern Time** - Not currently set up to employ in: **AK, AL, AR, DE, HI, ID, IA, KS, KY, LA, ME, MT, NE, NH, NM, ND, OK, RI, SC, SD, VT, WV, WY** - Preference for candidates within commuting distance of the Manhattan office (in-person perks like catered lunches and team events) ### Tech Stack (examples) - **Frontend:** TypeScript, SolidJS, React
Listing freshness
CronJobs last confirmed this listing 2h ago. If its source stops confirming the opening for seven days, this page is removed from active inventory.