Software Engineer (Backend- Python)
NavaSalary not specified
Full Time
Junior (1 to 2 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Finance, Legal, AIIndustries
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 backend software engineering
- Proficiency in building backend and API systems using technologies such as Python, Java, or Go
- Extensive experience with cloud platforms (e.g., AWS)
- Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis
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
What is the work location or remote policy for this role?
The team works in person 5 days a week at our SoHo office in NYC.
What is the salary for this Backend Engineer position?
This information is not specified in the job description.
What skills are required for the Backend Engineer role?
The role requires expertise in systems, application layer software, and data modeling, along with the ability to build efficient software solutions using distributed systems and agentic frameworks.
What is the company culture like at Hebbia?
Hebbia values engineers who move fast, hold themselves accountable to quality, are detail-oriented, and build steerable, reliable, explainable systems while working in person as a team.
What makes a strong candidate for this Backend Engineer position?
Strong candidates can own critical system components, turn complex requirements into robust scaled solutions, and demonstrate elegant software design with a focus on efficiency and detail.
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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