Staff Engineer, Distributed Systems
LaunchDarklySalary not specified
Full Time
Senior (5 to 8 years)
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
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
Is this a remote position or does it require office work?
The team works in person 5 days a week at the SoHo office in NYC.
What is the salary for this Platform Engineer role?
This information is not specified in the job description.
What skills are needed for the Platform Engineer, Agents position?
The role requires expertise in distributed systems, scalable infrastructure design, and building high-scale systems for exponential growth and low-latency indexing.
What is the culture like on the Agents team at Hebbia?
The team moves fast, builds first-of-their-kind systems, works in person 5 days a week in NYC, and focuses on steerable, reliable, explainable agentic systems at massive scale.
What makes a strong candidate for this Platform Engineer role?
Strong candidates are engineers who think on their feet, innovate, solve for exponential scale, and can own critical system components turning complex requirements into robust, scaled solutions.
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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