Founding AI Engineer - Context, Memory, and System

About Noscen

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!

Description

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

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• 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

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• 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

• Competitive base salary
• Meaningful early-stage equity
• Comprehensive health, dental, and vision coverage
• Immigration support: H1-B and green card sponsorship available for qualified candidates