Platform Engineer, Document Intelligence at Hebbia

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, 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, with a focus on distributed systems and platform engineering
Proficiency in building backend and distributed systems using technologies such as Python, Java, or Go
Deep understanding of scalable system design, performance optimization, and resilience engineering
Extensive experience with cloud platforms (e.g., AWS)
Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis
Knowledge of workflow orchestration and execution platforms like Airflow, Temporal or Prefect
Proven experience enabling observability patterns
Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders
Proven experience in leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment
Enthusiasm for continuous learning and professional growth

Responsibilities

Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs
Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume
Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents
Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth

Skills

Key technologies and capabilities for this role

Distributed SystemsScalable InfrastructureSystem DesignData IngestionSearch TechnologiesAI InfrastructurePlatform Engineering

Questions & Answers

Common questions about this position

What is the salary for this Platform Engineer position?

This information is not specified in the job description.

Is this role remote or in-office?

The team works in person 5 days a week at the SoHo office in NYC.

What experience and skills are required for this role?

Candidates need 5+ years of software development experience at a venture-backed startup or top technology firm, plus a Bachelor's or Master's in Computer Science, Data Science, Statistics, or related field with coursework in data structures, algorithms, and software development.

What is the work environment like on the Document Intelligence team?

The team builds cutting-edge AI solutions for document exploration and search, works closely with customers to iterate on real-world challenges, and operates in person 5 days a week at the SoHo office in NYC.

What makes a strong candidate for this Platform Engineer role?

Hebbia values engineers with 5+ years of experience at startups or top tech firms, strong academic background in CS or related fields, and the ability to think on their feet, innovate, and solve for exponential scale while mentoring juniors.

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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