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Hebbia Jobs (NOW HIRING)

Hebbia

Corporate Administrator

Manhattan, NY · On-site

$75K - $85K/yr

Corporate Administrator Hebbia is looking for a dynamic, highly organized Corporate Administrator to join our team. In this multifaceted role, you'll serve as a key operational partner across talent ...

Jobtailor

Legal AI Solutions Analyst

Manhattan, NY · On-site

$120 - $160/hr

Familiarity with platforms like Harvey, Hebbia, or similar legal AI tools * Basic Python or scripting skills; API familiarity a plus for future projects * Strong problem-solving and communication ...

New

Traversal

AI Engineer - AI Platform

New York, NY · On-site

$150K - $300K/yr

Citadel Securities, Cockroach Labs, Datadog, DE Shaw, Meta, Hebbia, Perplexity, Glean, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of ...

Traversal

AI Engineer - AI Platform

Manhattan, NY · On-site

$150 - $300/hr

Citadel Securities, Cockroach Labs, Datadog, DE Shaw, Meta, Hebbia, Perplexity, Glean, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of ...

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Hebbia information

What is a Hebbia?

Hebbia is a company specializing in artificial intelligence and machine learning, particularly focused on building advanced research and productivity tools for enterprises. Their platform leverages AI to help users search, analyze, and extract insights from large volumes of unstructured data such as documents, emails, and contracts. Hebbia's technology is often used by professionals in fields like finance, law, and corporate research to automate and enhance data-driven decision-making. The company is recognized for its innovative approach to handling complex, high-stakes information tasks efficiently and accurately.

What are the key skills and qualifications needed to thrive as a Hebbia AI Solutions Engineer?

To excel as a Hebbia AI Solutions Engineer, you need a strong background in software engineering, data analysis, and machine learning, typically supported by a degree in computer science or a related field. Experience with programming languages such as Python, frameworks like TensorFlow or PyTorch, and a familiarity with Hebbia’s platform and APIs are commonly required. Excellent problem-solving, communication, and project management skills help you collaborate with clients and cross-functional teams. These competencies are crucial to building effective AI solutions that address complex client needs and drive innovation in enterprise environments.

What are some common challenges faced by team members working at Hebbia, and how can new hires prepare to overcome them?

At Hebbia, team members often work on complex AI-powered search and automation solutions, which require balancing technical depth with rapid innovation. New hires may face challenges such as adapting to fast-paced project cycles, collaborating across multidisciplinary teams, and staying up-to-date with evolving technologies. To overcome these challenges, it's helpful to proactively seek feedback, engage in continuous learning, and communicate openly with colleagues. Embracing a growth mindset and being comfortable with ambiguity will help new team members excel and contribute effectively.
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Infographic showing various Hebbia job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 97% Physical, and 3% Hybrid job distribution.

Platform Engineer, Document Intelligence

Hebbia

Manhattan, NY • On-site

Full-time

Re-posted 15 days ago

Job description

Job Summary:
Hebbia is an AI platform for investors and bankers that generates alpha and drives upside. The Platform Engineer for Document Intelligence will be responsible for developing scalable systems that power billions of tokens and optimize performance while mentoring junior engineers.
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.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• 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.
Preferred:
• A strong academic background with coursework in data structures, algorithms, and software development is preferred.
• 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).
Company:
Hebbia is an artificial intelligence platform designed to assist investment banking, asset management, and corporate strategy teams. Founded in 2020, the company is headquartered in New York, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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