H

Hebbia AI

AI-powered browser extension for intelligent search

Platform Engineer - Document Intelligence

Platform EngineeringUpdated on Nov 7
Full-time

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field is required; coursework in data structures, algorithms, and software development is preferred.
  • At least 5 years of software development experience at a venture-backed startup or top technology firm, focused on distributed systems and platform engineering.
  • Proficiency building backend and distributed systems with Python, Java, or Go.
  • Deep understanding of scalable system design, performance optimization, and resilience engineering.
  • Extensive experience with cloud platforms such as AWS.
  • Working experience with one or more of Kafka, Elasticsearch, PostgreSQL, and Redis.
  • Knowledge of workflow orchestration and execution platforms such as Airflow, Temporal, or Prefect.
  • Proven experience enabling observability patterns.
  • Ability to analyze complex problems, propose solutions, and communicate technical concepts to technical and non-technical stakeholders.
  • Proven experience leading software development projects and collaborating with cross-functional teams.
  • Experience building distributed systems using technologies such as etcd or Apache ZooKeeper is a bonus.
  • Frequent use of AI products, especially during the development lifecycle, such as Cursor or Claude Code, is a bonus.

Responsibilities

  • Own critical system components by translating complex requirements into robust, scalable solutions that address customer needs.
  • Build and iterate on the high-scale document build system to enable constant-time indexing latency for any content, regardless of data volume.
  • Architect and implement performance-tuning solutions to minimize latency and maximize throughput across millions of documents.
  • Provide technical leadership, mentorship, and guidance to junior engineers.

Desired Qualifications

  • Strong academic background with coursework in data structures, algorithms, and software development.

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

Recently Posted Jobs

Explore more opportunities at Hebbia AI

See more jobs