Partner with agent teams (e.g., Gemini Coder, Duckie, Basecamp) to create sub-agents, tools, RAG solutions and workflows enabling them to do better code exploration.
Integrate LLMs, RAG skills to augment code search with features like natural language code search, chat agents.
Design, develop, and maintain core features of the Google code search platform, used by thousands of engineers daily.
Improve the efficiency and scalability of code search infrastructure, ensuring fast response times and high availability.
Analyze user data and conduct A/B testing to measure the effectiveness of new features and identify areas for improvement.
Minimum qualifications:
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Experience in developing and deploying Generative AI agents.
Experience with storage systems design, implementation, and management.
Experience in natural language processing (NLP), image generation, or other generative AI techniques.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical field.
5 years of experience with data structures and algorithms.
1 year of experience in a technical leadership role.
Experience in text/code embeddings at scale, and with C++ programming language.
Experience with infrastructure and building scalable distributed systems.
Knowledge of GenAI, RAG, Agents.
