Founding AI Engineer

Description At Noscen, we are building an integrated hardware-and-software AI life copilot for self-improvement. Our belief is simple: AI shouldn't replace people; it should expand human cognition and strengthen human agency. As a continuous and context-aware wearable companion, our product understands people's real-world lives — their challenges, behaviors, and goals — and helps them see themselves clearly, make better decisions, become healthier, and unlock their full potential. Led by a founding team that spent the last decade architecting era-defining products like Pokémon GO and Apple Vision Pro, we operate at the absolute frontier of human computer interaction and multimodal AI. Backed by top-tier venture capital, we have recently closed a competitive seed funding round to fuel our journey. We value high-velocity execution, deep kindness and humble curiosity as we take on the world. If you feel the same calling, we'd love to build the future with you! What You’ll Do [Role focuses: Context Engineering, Memory and System] As a Founding AI Engineer, you will own the entire intelligence layer of this vision from scratch. You will drive the end-to-end implementation of a highly personalized AI assistant across multimodal signals, context engineering, memory, and actions, while shaping an AI architecture that fiercely protects user privacy and data boundaries. 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 We’re Looking For Bachelor’s degree or above in CS or a related field At least 3 years of full-time work experience in related field At least 2 year of Gen AI experience building and shipping applied generative AI systems end to end Hands-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 in a fast-paced and high-intensity start-up environment Clarity of thought, excellent communication Bonus Experience with Docker, Kubernetes, or major cloud platforms such as AWS, GCP, or Azure. Early-stage start up experience Compensation and benefits Meaningful early-stage equity Comprehensive health, dental, and vision coverage Immigration support: H1-B and green card sponsorship available for qualified candidates #J-18808-Ljbffr