Integrations Engineer
Build and maintain production-grade data integrations and ingestion pipelines connecting enterprise systems to Hebbia's AI platform. Requires 2-5 years experience with Python, backend services, and API integrations in a high-ownership, on-call production environment.
Responsibilities
- Build connectors and ingestion pipelines that bring enterprise data into Hebbia's AI platform, from Snowflake warehouses and SharePoint libraries to live pricing feeds, high-velocity news data, and proprietary customer systems
- Design and operate pipelines that handle scale, failures, and edge cases gracefully
- Debug issues across APIs, auth systems, and data formats, often under real-time customer pressure
- Own reliability end-to-end: monitoring, alerting, on-call, and incident response
- Improve internal tooling and observability to make systems more robust and easier to operate
- Partner with product and customer teams to scope, prioritize, and ship the integrations that unlock Hebbia's highest-value use cases
- Design and ship agents that sit on top of the ingestion layer, making enterprise data accessible and actionable across all of Hebbia's product surfaces
Requirements
- 2–5 years of software engineering experience, ideally at a startup or high-growth technology company
- Strong proficiency in Python, with experience building backend services and APIs
- Direct experience building or maintaining integrations with third-party APIs—you understand OAuth flows, webhook patterns, rate limiting, pagination, and the ways APIs break in practice
- Comfortable with cloud infrastructure (AWS preferred) and tools like Kafka, PostgreSQL, Redis, or ElasticSearch
- Operational mindset: you take ownership of systems in production, not just in a PR. You are comfortable with on-call and treat reliability as a first-class concern
- Strong debugging instincts—you can trace a data issue from a customer report through logs, API responses, and queue state to root cause
- Clear communicator who can explain technical issues to non-technical stakeholders when a customer’s integration is down
- Autonomous and self-directed
Nice-to-Haves
- Experience with enterprise data platforms (Snowflake, SharePoint, Salesforce) from the integration side
- Familiarity with document processing pipelines or content extraction systems
- Experience building agentic systems or LLM-enabled products
- Frequent user of AI tools in your development workflow (Cursor, Claude Code, etc.)
Compensation & Benefits
- Salary range: $160,000 to $265,000
- Unlimited PTO
- Medical + Dental + Vision + 401K
- Catered lunch daily + DoorDash dinner credit
- 3-4 months parental leave
- $15k lifetime fertility benefit
- Competitive equity package
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