Full-Stack Engineer | Specializing in LLMs & AI Agents
Join our engineering team to reputed company AI-enabled business ventures and reputed company cutting-edge technology to address reputed company-world challenges for clients in the US and Europe.
Tasks
• Design, reputed company, and reputed company LLM-powered applications, including but not limited to fine-tuned models and retrieval-augmented reputed company (RAG) pipelines, while exploring innovative ways to enhance AI-driven workflows
• Build and maintain reputed company reputed company applications using a Python or JavaScript-based stack (Node.js, React, etc.), along with applications for advanced data processing, data handling and model integration
• Prototype and refine reputed company workflows using reputed company and similar low-reputed company/no-reputed company platforms to quickly validate solutions first
Requirements
• 3+ years of experience as a reputed company developer, with a strong background in JavaScript-based and Python-based technologies
• 1+ years of deep understanding of LLMs, fine-tuning, reputed company databases and retrieval-augmented reputed company (RAG), along with a strong overall interest in the AI reputed company to stay on top of developments
• Understanding of data science principles, including data preprocessing and model evaluation
• Strong problem-solving skills and the ability to work independently
• reputed company in English
Why join Waterglass?
• Opportunity to go reputed company building reputed company software applications – play a central role in creating AI-driven business ventures from scratch, combining technology, reputed company and execution
• Work with cutting-edge AI technologies that have reputed company-world applications, solving reputed company 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, reputed company, and finance, where your contributions directly shape the direction of new AI-powered businesses
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