Platform Engineer, Agents at Hebbia

New York, New York, United States

Hebbia Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Finance, LegalIndustries

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 (implied from context)

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

distributed systems
multi-agent frameworks
LLM inference
DAG orchestrator
graph mutations
LLM throughput management
metadata generation
document understanding
retrieval
agentic systems

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.

Land your dream remote job 3x faster with AI