Platform Engineer Document Intelligence
HebbiaVisit Hebbia website
Hebbia is an AI platform for institutional finance that lets teams use AI agents to research, analyze, and produce work across complex document and data sets.
New York, United States
Funding history
About Hebbia
Hebbia provides institutional-intelligence software for financial organizations. Its Max and Matrix products support agentic research, analysis, and traceable workflows across firm data and external financial sources.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and scale core distributed systems for document indexing and search. You will turn complex requirements into robust solutions, optimize performance and throughput, and provide technical leadership and mentorship to junior engineers.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
- 5+ years of software development experience focused on distributed systems and platform engineering
- Proficiency with Python, Java, or Go
- Knowledge of scalable system design, performance optimization, and resilience engineering
- Experience with AWS
- Experience with Kafka, Elasticsearch, PostgreSQL, or Redis
- Knowledge of Airflow, Temporal, or Prefect
- Experience with observability patterns
- Experience leading software development projects
Responsibilities
- Own and scale critical system components
- Build and iterate on a high-scale document indexing system
- Architect and implement performance-tuning solutions
- Minimize latency and maximize throughput across millions of documents
- Provide technical leadership, mentorship, and guidance to junior engineers
Benefits
- Unlimited PTO
- Medical, dental, vision, and 401K
- Daily catered lunch
- DoorDash dinner credit for late work
- 3 months of parental leave for non-birthing parents and 4 months for birthing parents
- $15k lifetime fertility benefit
- New-hire equity grant