The leading AI platform for finance, used by the world's leading asset managers, investment banks, law firms and Fortune 500 companies. Backed by Index, a16z and GV.
About the role
As a Front-End Engineer on Agents, you will not only own the interfaces bankers, investors, and lawyers use to work with Max and Matrix, but the user experience overall. You will be responsible for simple, delightful experiences for users to direct long-running agents, review citations, and iterate on key deliverables. You will turn new agentic capabilities from our research team into fast, polished interfaces on the web and on iOS. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience
- 4+ years building production front-ends at a venture-backed startup or top technology firm
- Expert in TypeScript and React, with a deep understanding of rendering performance, state management, data fetching, and real-time patterns
- Comfortable across the stack — designing APIs, working with async services, and debugging the systems behind your UI
- Strong product sense and design taste, comfortable working closely with designers and product managers
- Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc.)
More about this role
The user interface for universal knowledge capture. We want every atom of information that our users need to be at their fingertips.
Designed to be generally capable– it can tackle even the most complex tasks, citing answers over any amount of sources. By showing its work, Hebbia empowers users to collaborate with AI on each step and validate responses instead of blindly trusting them. Our mission is to put capable AI in the hands of 1 billion people by 2030.
Hebbia enables leading finance and legal firms with advanced reasoning, copiloting and retrieval capabilities - unlocking meaningful insights for meaningful use cases. The Agents team builds everything from core document understanding capabilities to co-piloting experiences for matrix and deep, multi-source research. We’ve built our own agentic frameworks powered by distributed systems built for scale.
We don’t build for one-off success. We build steerable, reliable and explainable agentic systems. And we build these systems for the scale of data our customers bring to the table. Our goal is to unlock the unknowable unknown for customers all over the world.
We want to build a product that becomes indisposable to our customers...
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