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Platform Engineer, Document Intelligence

Hebbia AI · New York, New York

Location
New York, New York, United States
Employment
Full time
Level
Senior
Posted
14 months ago

About this role

About Hebbia

The AI platform for investors and bankers that generates alpha and drives upside.

Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock, KKR, Carlyle, Centerview, and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally.

We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets.

Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership.

The Team

The Document Intelligence team at Hebbia builds cutting-edge AI solutions that transform how users discover and interact with billions of private and public documents. Our products, including the Hebbia’s Browse application, enable intelligent document exploration, powerful search capabilities, and deep insights extraction. We focus on developing advanced data ingestion and search technologies that deliver intuitive, explainable, and highly responsive experiences. Working closely with customers, our team continuously iterates to address real-world challenges and drive impactful, data-driven decisions. Our goal is to empower users by seamlessly turning vast and complex document repositories into actionable intelligence.

The Role

Platform engineering at Hebbia is about excellent, scalable enablement. You are responsible for the core distributed systems that power billions of tokens across millions of dollars of AUM. You will be responsible for deploying efficient systems and building software tightly coupled with state of the art infrastructure/system design. Hebbia’s edge is built on operating on the edge of the tokenomics curve and you will serve as a key contributor in this area. We value engineers who think on their feet, innovate and can solve for exponential scale.

Responsibilities

  1. Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.

  2. 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.

  3. 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.

  4. Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth.

Who You Are

  • 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. A passion for exploring new technologies, frameworks, and software development methodologies.

  • Autonomous and excited about taking ownership over major initiatives

  • Bonuses:

    • Experience building distributed systems leveraging technologies such as etcd or Apache Zookeeper.

    • Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc).

    Compensation

    The salary range for this role is $160,000 to $350,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.

    Life @ Hebbia

    PTO: Unlimited

    Insurance: Medical + Dental + Vision + 401K

    Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late

    Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent

    Fertility benefits: $15k lifetime benefit

    New hire equity grant: competitive equity package with unmatched upside potential

    #LI-Onsite

    As published by Hebbia AI. Applications are handled on their site.

    Skills this posting mentions

    PythonGolangDistributed Systems

    About Hebbia AI

    Hebbia is the leading AI platform for finance. Founded in 2020 by George Sivulka, Hebbia is a generative AI company backed by Andreessen Horowitz, Peter Thiel, and Index Ventures. Investment banks and over 40% of the largest asset managers by AUM use Hebbia’s AI agents to drive investment decisions and automate financial analyst workflows. Users can instantly surface insights over filings, research, and millions of internal documents, enabling citation-backed research, AI-driven document, powerpoint, and spreadsheet generation, and AI driven origination, screening, and diligence. Learn more at hebbia.com.

    All 25 openings at Hebbia AI

    One click, then it is written

    Apply to Hebbia AI with a resume written for this role.

    Queue Platform Engineer, Document Intelligence and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Hebbia AI’s form for you.

    1. 01Drop your resume

      A PDF or a LinkedIn URL. About a minute, once.

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      Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

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      Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

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    Paste your career in once. Every application after that is written for you.

    Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.

    1. 01Drop your resume

      A PDF or a LinkedIn URL. About a minute, once.

    2. 02I rank the openings

      Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

    3. 03Each one is written up

      Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

    • New matches ranked and written before you are up.
    • Every bullet stays inside what your history supports. Nothing invented.
    • Queued, submitted, interviewing, offer: one screen, not a spreadsheet.

    500 free credits on sign-up. No card. Nothing is sent until you say so.

    Listed from the job board Hebbia AI publishes. Refolk is not the employer and does not handle their hiring. Applications go to Hebbia AI directly.