Key Responsibilities

• Build and nurture a world class team of engineers dedicated to pushing the boundaries of innovation and delivering industry-leading solutions in e-commerce search.
• Foster a culture of continuous experimentation and learning, encouraging the team to iterate rapidly and leverage data-driven insights to drive improvements across funnel and user satisfaction.
• Manage roadmap, project priorities and owning delivery of solutions.
• Foster a culture of rapid experimentation, encouraging team members to iterate quickly and learn from successes and failures.
• Collaborate closely with Product Managers, other Engineering leads, and Data Science experts to align on priorities and drive cross-functional initiatives.
• Build a deep understanding of the Gen AI landscape, constantly exploring new technologies and methodologies.
• Develop, optimize, and deploy applications using large language models (LLMs) to meet specific business requirements and use cases across various business units and functions.
• Stay informed about the latest advancements in Generative AI research and techniques, and establish best practices for effectively leveraging Gen AI.
• Oversee the design, development, testing, and deployment, ensuring adherence to quality standards and best practices.
• Monitor application performance metrics and implement optimizations to enhance search relevance and speed.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 9+ years of experience in software engineering, with a focus on search technologies.
• 3+ years of experience in a technical leadership or management role, preferably managing engineering teams of 8-12 people.
• Solid proficiency (4+ years) in Python and related AI/ML libraries.
• Experience deploying AI-driven data products or solutions.
• Ability to write high-quality, maintainable code and work collaboratively.
• Hands-on experience with Generative AI tech: Open AI / Gemini models or other open source large language models (LLMs) and large vision / multimodal models.
• Experience with Embeddings and Vector Databases, and frameworks such as Langchain or HuggingFace.
• Deep understanding of Gen AI paradigms such as Retrieval Augmented Generation (RAG) architecture and prompt engineering techniques.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams and influence stakeholders.
• Proven track record of delivering complex projects on schedule and within budget.