
Hebbia
Open Positions at Hebbia
8 open positions
Build and ship production integrations and workflow solutions directly alongside Hebbia’s most strategic customers. This hands-on engineering role combines full-stack development, customer-facing technical ownership, and rapid delivery of AI platform capabilities.
Build the production-grade integrations and data pipelines that power Hebbia’s AI platform. You’ll own systems end to end—from connector design and deployment through observability, on-call, and real-time debugging.
Build and own the production systems, reliability tooling, and deployment platforms behind Hebbia’s AI platform. This software-focused SRE role emphasizes writing code, improving distributed systems, and embedding with product engineering teams to make reliability a design principle.
Build the NLP, LLM, and agentic systems powering Hebbia’s AI platform, translating cutting-edge research into production software. You’ll own experiments, evaluate foundation models, and integrate reliable AI capabilities into products used by leading finance and legal firms.
Build high-scale backend systems for Hebbia’s Agent Collaboration platform, powering AI-driven document analysis and agentic workflows. You’ll own critical infrastructure, optimize distributed systems, and help turn massive document repositories into actionable intelligence.
Build the backend, distributed systems, and agentic infrastructure behind Hebbia’s AI platform for high-stakes finance and legal workflows. You’ll own critical systems, optimize large-scale document processing, and help mentor other engineers.
Build high-scale backend systems and data integrations that power Hebbia’s AI platform and accelerate customer growth. You’ll own critical components, optimize indexing and performance across millions of documents, and mentor other engineers.
Build the distributed platform systems powering Hebbia’s large-scale document intelligence products. You’ll own high-impact indexing and performance initiatives while mentoring engineers and solving infrastructure challenges at exponential scale.