Integrations Engineer

Hebbia AI•New York, NY

4d•Onsite

About The Position

Hebbia is an AI platform for investors and bankers that generates alpha and drives upside. Founded in 2020, Hebbia powers investment decisions for major financial institutions. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis, managing over $30 trillion in assets globally. We provide intelligence that gives finance professionals a competitive edge by uncovering hidden opportunities and accelerating decisions. Hebbia transforms how capital is deployed, risk is managed, and value is created across markets, serving as a competitive advantage for performance and market leadership. The Integrations team is crucial to Hebbia, responsible for the systems that bring customer data into the platform. This involves building resilient, production-grade data systems across diverse and often inconsistent enterprise environments. The role requires hands-on, high-ownership, and deeply technical work, focusing on building, deploying, monitoring, and debugging data integrations that power Hebbia's AI.

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. This role has high ownership and low hand-holding.

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.).

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 — from document analysis to structured query workflows.