Frontend Engineer (React)
SweedFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
The team works in person 5 days a week at the SoHo office in NYC.
This information is not specified in the job description.
The Agents team builds core document understanding capabilities, co-piloting experiences for matrix and deep multi-source research, custom multi-agent frameworks, scalable LLM inference engines, and industry-leading agents for finance and legal use cases like diligence and M&A.
Responsibilities include owning major product features end-to-end from design to launch, building agentic interfaces with enterprise control and consumer simplicity, and providing significant coverage as part of a small growing team.
Hebbia emphasizes building steerable, reliable, explainable agentic systems at scale, moving fast to create first-of-their-kind products that are indispensable and delightful, with in-person collaboration in a tight-knit cross-functional team.
AI-powered browser extension for efficient information retrieval
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.