Founding Full-Stack Engineer (AI) - Centralize (YC24)

Outbound•San Francisco, CA

26d•Hybrid

About The Position

Centralize is seeking an AI-focused Full-Stack Engineer with a strong background in building complex frontend and backend systems. The ideal candidate will have experience in scoping and executing large features, optimizing for speed and scale, and a proven track record of building complex LLM applications. This role involves spearheading upcoming AI features and acting as an expert to elevate the AI engineering knowledge of the product engineering team. The company offers an AI-powered, all-in-one deal workspace for enterprise sales teams, aiming to automate stakeholder mapping, provide conversation insights, and expedite pipeline reviews. They have a strong backing from notable investors and advisors.

Requirements

3+ years working in full stack.
Expert in building complex frontend & backend systems (React, NextJS, background jobs, DB architecture, etc).
Experience building complex LLM applications.
Proven track record of creating & optimizing RAG pipelines (chunking, embedding, reranking, summarization).
Exceptional English communication skills.
CS degree.

Nice To Haves

Based in the Bay Area, excited to connect with the team in-person once every 1-2 months.
Hyper product focused.
Have built something extremely impressive at scale using LLMs.
Experience building substantial (not just small side projects) AI products from the ground up — scoping, implementing, and delivering a product that has seen millions of users.
Examples of impressive AI products: agentic workflows, complex chatbots, etc.
Did AI research in large language models in the past and transferred to a product engineering role working in AI.
Product engineers who work at companies that are almost entirely AI focused.
Could be young and hungry & has worked as a founding engineer at at least one AI-startup AND built something insanely impressive (like built their technology from the ground up).
Worked on GTM tooling & led sales calls (or been on sales calls as an Eng).

Responsibilities

Spearhead upcoming AI features.
Act as an expert to level up the rest of the product engineering team's AI engineering knowledge.
Take undefined product thinking and independently scope and execute large features.
Optimize for speed with attention to scale.
Build complex LLM applications.
Create and optimize RAG pipelines (chunking, embedding, reranking, summarization).