Founding AI Engineer

Noscen; Sunnyvale (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive base salary

Early-stage equity

Health/dental/vision coverage

H1-B sponsorship available

Job summary

Noscen in Sunnyvale, CA is seeking a Founding AI Engineer to own the entire intelligence layer, building a highly personalized AI assistant across multimodal signals, context engineering, memory, and actions. You will shape an AI architecture that prioritizes user privacy and data boundaries.

You will collaborate with product, design, and engineering to turn ambiguous needs into robust AI capabilities while delivering scalable, privacy-conscious solutions.

Qualifications

• Bachelor’s degree in CS or related field.
• At least 3 years of full-time work experience in related field.
• At least 2 years of Gen AI experience building and shipping applied generative AI systems end to end.
• Hands-on experience with LLMs, VLMs, or multimodal models and open-source models such as DeepSeek, Qwen, Llama.

Responsibilities

• Own the entire intelligence layer from scratch and drive end-to-end implementation of a personalized AI assistant.
• Build multimodal context understanding and memory/personalization infrastructure.
• Develop retrieval and reasoning to use context effectively and timely.
• Productize AI pipelines, APIs, storage, evaluation, monitoring, and privacy-first data handling.
• Collaborate with product, design, and engineering to turn ambiguous needs into robust AI capabilities.

Skills

Python

Backend engineering

System design

Communication

Ownership

Gen AI experience

Education

Bachelor’s degree in CS or related field

Tools

Docker

Kubernetes

AWS

Open-source models: DeepSeek

Open-source models: Qwen

Open-source models: Llama

Job description

Role focuses on: Context Engineering, Memory and System

What You’ll Do

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

• 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