Senior Software Engineer - Search and AI
Tech Stack
Job Description
CellarTracker is the world’s most trusted wine community, where technology and passion meet to make wine discovery accessible and exciting for everyone.
Founded in 2003 as a cellar management tool for wine collectors, CellarTracker has since expanded to help millions find and experience wines they love.
Today, across our website and newly reimagined mobile app—which has quickly earned over 2,000 reviews with a 4.9-star rating—our 1 million members contribute to a robust database of 5 million unique wines and over 10 million community reviews.
In just three years, our team has grown from 3 to 20, and we’re looking for more awesome team members to drive our mission forward.We are seeking a Senior Software Engineer who is passionate about leveraging generative AI technologies to build delightful consumer products.
You will play a pivotal role in integrating cutting-edge AI and search technologies into our platform, helping users navigate their wine journey in innovative ways.As a senior member of our team, you'll act as an owner, creating clarity from ambiguity and driving projects from concept to completion.
You'll collaborate closely with cross-functional teams to build solutions that are scalable, performant, and user-friendly.
If you're self-motivated, have a bias for action, and value empathy and collaboration, we'd love to hear from you.Responsibilities Lead AI Integration: Design, develop, and deploy AI-powered features that enhance user experience on our platform Advance Search Capabilities: Implement and optimize search algorithms, leveraging both traditional methods and generative AI models Innovate: Stay up-to-date with the latest advancements in AI and search technologies to keep our platform at the cutting edge Consumer Product: Leverage Search and AI expertise to champion your vision for delightful new consumer products Collaborate Cross-Functionally: Work closely with product managers, designers, and other engineers to translate user needs into technical solutions Model Optimization: Continuously improve AI models for better performance, user satisfaction, and cost-efficiency Problem Solving: Create clarity from ambiguous requirements and know when to ask for help to overcome challenges Ownership: Take responsibility for the quality and timely delivery of your work, acting as an owner of your projects Code Excellence: Participate in code reviews and contribute to best practices to maintain high-quality codebases