Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Founding AI Engineer
Job
Noscen
Mountain View, CA (In Person)
Full-Time
Review key factors to help you decide if the role fits your goals.
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
100
out of 100
Average of individual scores
Skill Insights
Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
Founding AI Engineer at Noscen Founding AI Engineer at Noscen in Mountain View, California Posted in about 5 hours ago.
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.
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
Type:
full-timeJob Description:
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 inputsMemory & 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