Frontend Engineer, Document Intelligence at Hebbia

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred
5+ years software development experience at a venture-backed startup or top technology firm
Proficiency in React, Typescript, and popular frontend frameworks for component design and state management
Deep expertise in one or multiple: full-stack development, frontend engineering, web development, UX/UI engineering
Knowledge of cloud platforms and application deployment platforms (e.g., AWS, Vercel)
Demonstrated awareness of best practices in UI architecture and development
Problem-solving and analytical skills: Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders
Leadership and teamwork: Proven experience in leading software development projects

Responsibilities

Be an owner. We are a small and growing team relying on each and every engineer to provide significant coverage
Build without prior art. Agentic interfaces do not have templates or pre-existing guidelines to rinse and repeat - you will be setting the standard for an industry
Own critical system components. Take complex requirements and turn them into robust, scaled solutions that solve real customer needs
Unlock meaningful customer value. Our customers aren’t using Hebbia for the gimmick - they unlock market moving value. You will be responsible for unlocking this Alpha

Skills

JavaScript

React

TypeScript

CSS

HTML

UI Development

Frontend Engineering

Hebbia

AI-powered browser extension for efficient information retrieval

About Hebbia

Hebbia.ai offers an AI-powered browser extension that enhances the traditional search function by understanding the context of user queries. This tool quickly highlights the most relevant information in lengthy documents, making it easier for users to find what they need. It is particularly useful for professionals such as researchers, financial analysts, legal experts, and software engineers who often work with extensive documentation. Unlike standard search tools, Hebbia's extension provides a more efficient way to sift through large amounts of text, improving information retrieval speed significantly. The company is currently in private beta, allowing early users to test the product, with plans to monetize through subscription fees or licensing agreements in the future. Hebbia aims to optimize workflows for its users by providing a solution that is 20 times faster than traditional methods.

New York City, New YorkHeadquarters

2020Year Founded

$155.3MTotal Funding

SERIES_BCompany Stage

Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Risks

High development costs could strain Hebbia's financial resources as it scales operations.

Increased competition from established AI players may overshadow Hebbia's offerings.

Shifting focus to the legal sector may pose challenges in product adaptation.

Differentiation

Hebbia offers AI search with transparent processes, unlike black-box competitors.

The platform enhances traditional search with AI, improving document comprehension significantly.

Hebbia's AI tool is tailored for professionals in finance, law, and pharma sectors.

Upsides

Hebbia raised $130M, indicating strong investor confidence in its AI search platform.

The legal sector expansion offers new market opportunities for Hebbia's AI solutions.

Partnerships with financial firms validate Hebbia's market fit in AI-driven document search.

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