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 ( 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