Backend Engineer, Agent Collaboration Platform
$160k/y-$300k/y
2 days ago
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OnsiteFull-timeMid
Summary
Hebbia is seeking a Backend Engineer for their Agent Collaboration Platform team in San Francisco, CA. The role involves building efficient software solutions and integrating product experiences with powerful distributed systems.
About the Role
As a Backend Engineer, you will own critical system components, unlock O(1) universal indexing, drive performance optimization, and mentor junior engineers. You will leverage the latest software and agentic solutions to protect Hebbia's technical edge through elegant software design and efficient data communication.
About You
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, focusing 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.
- Ability to analyze complex problems and propose innovative solutions.
Preferred:
- Experience building agentic systems or LLM enabled products.
- Frequent user of AI products during the development lifecycle.
Benefits
- Unlimited PTO.
- Medical, Dental, and Vision insurance.
- 401K plan.
- Catered lunch daily and DoorDash dinner credit for late stays.
- Parental leave policy: 3 months for non-birthing parent, 4 months for birthing parent.
- $15k lifetime benefit for fertility assistance.
- Competitive equity package with unmatched upside potential.
Hebbia
Hebbia is the AI platform for knowledge work used by leading finance, law, and Fortune 500 companies. The product orchestrates "AI agents" that accurately tackle the most complex tasks by breaking them down into understandable actions. Users can collaborate with AI to extract, structure, and analyze millions of documents at scale, allowing for full workflow automations with generative AI. We've raised $160M in funding from a16z, Peter Thiel, Index Ventures, Google Ventures, and others.
San Francisco, CA