Senior Server Engineer - AI Chatbot

Job Description

Join our Chatbot team and help shape the future of AI-powered customer experience at Wix. As an AI Engineer, you’ll drive the development of intelligent, context-aware features that elevate our Customer Care Chatbot into the go-to solution for users seeking guidance throughout their Wix journey. You’ll work end to end—researching cutting-edge AI methodologies, building scalable features, and ensuring they deliver real, lasting value to millions of users.

You will:

• Design, develop, and integrate AI-driven capabilities using state-of-the-art LLM and NLP technologies
• Conduct research and experimentation to identify innovative approaches and apply advanced models to real customer-care challenges
• Own feature development from ideation to deployment—partnering with product teams, defining requirements, estimating scope, implementing solutions, and monitoring performance
• Enhance system performance, stability, and reliability to ensure a seamless, always-available service
• Collaborate in architectural and technical discussions to continually improve system design and developer experience

Qualifications

• 5+ years of experience as a Server Engineer
• Proven ability in designing server solutions, API design, and handling technical discussions
• Passion for product development
• Understanding of business objectives and goals and how to transform business problems into actionable tasks
• Strong communication skills 

Nice to have

• Experience implementing and integrating gen-AI models, particularly large language models (LLMs) into production systems
• Proficiency with Large Language Models, including prompt engineering, fine-tuning, automatic evaluation and Retrieval-Augmented Generation (RAG) – an advantage

Additional Information

The Chatbot team's mission is to make the Customer Care Chatbot the principal choice for users seeking solutions during their Wix experience. We are committed to developing an AI Chatbot that leverages Wix's knowledge and relies on contextual cues to determine the most appropriate next action to facilitate the user's journey.