Senior Software Engineer, AI Full-Stack

• San Francisco, CA - Remote (any location)

Remote, but overlap with PST hours is required.

Overview

At Mem, we're working to empower people with the right information at the right time. The amount of digital data that we consume and produce on a daily basis has grown exponentially, but the way we access, search, and discover that information hasn’t kept up. We're seeking an AI Full Stack Engineer who can work across the stack on features that allow us to turn digital information into high-leverage knowledge. You will help us pioneer the way people interact with AI in real-time by building seamless AI experiences that are deeply integrated and context-aware and improve search quality and knowledge discovery in Mem. If you are someone who is creative and attentive to detail with a passion for knowledge retrieval and discovery, we're eager to meet you.

As an AI Full Stack Engineer, you will

• Build real-time, integrated, and context-aware AI experiences, ensuring seamless integration between frontend and backend systems.
• Collaborate with engineers and designers to define, design, and ship new features.
• Develop and implement user interface components of our web and desktop applications.
• Develop and implement backend services and APIs.
• Work on challenging problems that span the full stack, including but not limited to cross-device syncing, rich text editing, and asynchronous data processing pipelines.
• Be responsible for search and discovery at Mem: the information retrieval systems that power our core Chat, Search, and real-time recommendation systems.
• Experiment with and integrate state-of-the-art techniques in both LLM-augmented indexing and retrieval.
• Establish and oversee methods for monitoring and managing result quality over time.
• Invent new strategies for supporting dynamic browse experiences, enabling users to more easily discover knowledge.

You may be a good fit if you

• Identify as a strong backend and frontend generalist and have prior experience in complex frontend and backend engineering environments.
• Are open-minded to using state-of-the-art tools. Classical search experience is not a must.
• Expertise in Elasticsearch or machine learning is a plus, but not a requirement.
• Prior founder or startup experience is a plus.
• Are well-versed in systems thinking.
• Enjoy working collaboratively.
• Have strong written and verbal communication skills.
• Are a self-starter with the ability to work independently and solve complex problems.