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Hebbia AI

AI-powered browser extension for intelligent search

Forward Deployed Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of software development experience at a venture-backed startup or top technology firm.
  • Strong full-stack engineering skills, including the ability to work across APIs, data pipelines, frontend, and infrastructure as needed.
  • Experience with cloud platforms such as AWS and modern backend technologies such as Python, TypeScript, or Go.

Responsibilities

  • Embed with strategic accounts to understand their domain, data, and workflows.
  • Build custom integrations, workflow automations, and domain-specific solutions on Hebbia’s platform.
  • Write production code that deploys through CI/CD pipelines and meets engineering standards.
  • Own the technical relationship with the customer’s team during engagements.
  • Prototype quickly, validate solutions with the customer, iterate, and ship.
  • Work with engineering and product teams after engagements to generalize reusable patterns into platform capabilities.
  • Participate in code review, on-call rotation, and architecture discussions alongside core engineering.
  • Build connectors to customer data sources and document management systems.

Desired Qualifications

  • Experience with data integrations, ETL pipelines, or enterprise data systems such as S3, Snowflake, or SharePoint.
  • Experience with LLMs, RAG systems, or applied AI.
  • Prior experience in finance, legal, or consulting domains.
  • Experience in customer-facing engineering roles such as solutions engineering or professional services.

About the Company

Hebbia AI

AI-powered browser extension for intelligent search

Hebbia AI provides an AI-powered browser extension that enhances information search inside long documents, going beyond the traditional Ctrl-F by understanding the context of your questions and highlighting the most relevant passages. How it works: the extension analyzes your query, applies artificial intelligence to interpret context, and then instantaneously marks the most pertinent text within documents you visit, helping professionals navigate large amounts of content more quickly. How it differs from competitors: it focuses on context-aware, document-level understanding to speed up information retrieval, aiming to be about 20 times faster than standard search, and targets knowledge-heavy roles like researchers, analysts, legal professionals, and engineers. Its goal is to become a essential productivity tool for professionals by delivering fast, accurate information access through an AI-powered search experience, with a subscription or licensing model after its private beta.” } ?>

Company size
51-200
Company stage
Series B
Total funding
$159.7M
Headquarters
San Francisco, CA
Founded
2020

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