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Waterglass.ai is looking for a Full-Stack Engineer with LLMs, Agentic Workflows Experience
Join our engineering team to develop AI-enabled business ventures and deploy cutting-edge technology to address real-world challenges.
Tasks
- Design, develop, and deploy LLM-powered applications, including but not limited to fine-tuned models and retrieval-augmented generation (RAG) pipelines, while exploring innovative ways to enhance AI-driven workflows
- Build and maintain scalable fullstack applications using a JavaScript-based stack (Node.js, React, etc.), along with occasional Python applications for advanced data processing, data handling and model integration
- Prototype and refine agentic workflows using n8n and similar low-code/no-code platforms to quickly validate solutions first
Requirements
- 3+ years of experience as a fullstack developer, with a strong background in JavaScript-based technologies
- 1+ years of deep understanding of LLMs, fine-tuning, vector databases and retrieval-augmented generation (RAG), along with a strong overall interest in the AI space to stay on top of developments
- Understanding of data science principles, including data preprocessing and model evaluation
- Hands-on experience with n8n or similar workflow automation tools to build prototypes
- Strong problem-solving skills and the ability to work independently
- Fluency in English
Why join Waterglass?
- Opportunity to go beyond building agentic software applications – play a central role in creating AI-driven business ventures from scratch, combining technology, strategy and execution
- Work with cutting-edge AI technologies that have real-world applications, solving complex problems for both our own ventures and international clients across the US and Europe
- Join a small and fast-moving team with expertise in product, growth, and finance, where your contributions directly shape the direction of new AI-powered businesses
Skills