Builds and optimizes LLM-driven features, agentic workflows, and proprietary AI models for Bubble's visual app development platform. Requires Master's/PhD + 2+ years or 5+ years ML/software experience with transformers, RAG, and AI tools.
201k – 261k/yr
Hybrid2+ YOEML Engineering
About the role
Responsibilities
Improve LLM reasoning & retrieval techniques to enhance Bubble's AI-powered development tools.
Design and build agentic workflows to enable multi-step AI-driven app generation.
Fine-tune & optimize LLMs for AI-assisted app-building workflows.
Build and optimize proprietary AI models trained on domain-specific datasets.
Work closely with the AI team to scale AI research into production.
Optimize LLM performance and accuracy when interpreting and modifying applications.
Requirements
Master's or PhD in AI, ML, NLP, or related field + 2+ years industry experience with LLMs, AI model optimization, NLP pipelines OR5+ years as ML or Software Engineer.
Strong experience with transformer models, retrieval-augmented generation (RAG), dataset curation.
Experience with agentic AI workflows, chatbot-style LLM interactions.
Understanding of embeddings, vector search, AI model evaluation.
Proficient in Python, Typescript, Hugging Face, LangChain, Mastra.
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