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Chorus AI is seeking a hands-on AI infrastructure and product engineer to drive the core intelligence layer of our platform. You will shape ideas, design systems, and build production-ready AI workflows that empower our product experiences.
This role requires comfort with ambiguity, rapid iteration, and ownership across the full lifecycle of AI product development. You will collaborate with founders on technical strategy and product execution, delivering end-to-end pipelines from model
Most AI roles ask you to improve a model. This one asks you to help build a company.
We believe the gap between institutional and retail investors is no longer just about access to information. It is about access to structured workflows, tools, and decision support. Institutional desks have specialized analysts, research systems, and established processes. Most retail investors do not.
Our goal is to use AI to narrow that gap and make high-quality, structured research more accessible.
We are an early-stage team building fast, learning fast, and shipping real product. At Chorus AI, AI is not a feature added on top. It sits at the core of the product.
This is not a narrow modeling role, and it is not a role for someone who only wants to optimize prompts in isolation. You will work across the full lifecycle of AI product development: shaping ideas, designing systems, building core intelligence workflows, integrating models into product experiences, and iterating based on real user feedback.
You will help define not only how we build, but also what we build.
This role is for someone who enjoys ambiguity, thinks in systems, moves quickly, and wants real ownership in building an AI-native product from 0 to 1.
You will have real impact on:
This one asks you to help build a company.
You will be joining early enough to influence architecture, workflows, product direction, and engineering culture. This is a role for someone who wants more than implementation work. It is for someone who wants ownership, scope, and the chance to help shape what the company becomes.
If you are excited by speed, ambiguity, and building AI systems that people actually use, we would love to talk.