What Youll DoDrive end-to-end exploration and implementation of an unprecedentedly personalized AI assistant across multimodal understanding and reasoning of real-world signals, context engineering, memory, and actions. Shape the AI architecture and culture of the company that protect user privacy and respect data boundary.Multimodal Context Understanding: Build AI systems that understand real-world user context from multimodal inputs Memory & Personalization Infrastructure: Design context and memory systems that support deep user insights and personalization over time.Retrieval & Reasoning: Develop systems that reason over the right context at the right moment to help the product assist users timely and usefully.Productization of AI Pipeline: Build and own the pipelines, model workflows, APIs, storage, evaluation, monitoring, and privacy-first data handling behind all of it.Cross-function Collaboration: Work closely with product, design, and engineering to turn ambiguous human needs into robust AI capabilities.What Were Looking ForBachelors degree or above in Computer Science or a related fieldAt least 2 years of professional experience building and shipping applied generative AI systems end to endHands-on experience building and shipping AI systems with LLMs, VLMs, or multimodal models, including the ability to run, adapt, and evaluate open-source models such as DeepSeek, Qwen, Llama, or similar.Deep understanding of context engineering RAG, memory systems, embeddings, retrieval/ranking, MCP servers, agent frameworks, or other ways of making models reason over context they did not see in pretraining.Strong Python and backend/systems engineering ability. You can stand up pipelines yourself and take ambiguous ideas all the way to working systems.Action-driven: when you hear a vague idea, your hands start moving.Absolute ownership when something breaks, its yours to fix; when it works, its yours to extend.Clarity of thought, excellent communicationBonusExperience with Docker, Kubernetes, or major cloud platforms such as AWS, GCP, or Azure.Early-stage start up experienceCompensation and benefitsMeaningful early-stage equity Comprehensive health, dental, and vision coverageH-1B and green card sponsorship recblid fnzzes0yu244z1cgr6b9vcssr8lp9m