Integrations Engineer (AI)

TL;DR

Integrations Engineer (AI): Building and maintaining data integrations across dozens of third-party platforms, connecting enterprise systems like Snowflake, S3, SharePoint, and Dropbox to hirify.global's AI platform with an accent on reliability, scalability, and handling edge cases. Focus on debugging integration failures, improving internal tooling, and collaborating with product and customer success teams to prioritize integration requests.

Location: New York City; San Francisco, CA

Salary: $160,000 to $265,000

Company

hirify.global is the AI platform for investors and bankers that generates alpha and drives upside.

What you will do

• Build and maintain integrations with enterprise data platforms and customer’s self hosted storage solutions that enable customers to securely connect their data to hirify.global.
• Own integration reliability end-to-end: monitoring, alerting, on-call rotation, and incident response for the data ingestion layer.
• Debug and resolve integration failures across a wide surface area of third-party APIs, auth flows, and data formats.
• Design and implement robust ingestion pipelines that handle edge cases gracefully.
• Improve internal tooling and observability to reduce mean time to detection and resolution for integration issues.
• Collaborate with product and customer success teams to scope new integration requests and prioritize based on customer impact.

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.
• Clear communicator who can explain technical issues to non-technical stakeholders when a customer’s integration is down.

Nice to have

• 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.)

Culture & Benefits

• PTO: Unlimited
• Insurance: Medical + Dental + Vision + 401K
• Eats: Catered lunch daily + DoorDash dinner credit if you ever need to stay late
• Parental leave: 3 months non-birthing parent, 4 months for birthing parent
• Fertility benefits: $15k lifetime benefit
• New hire equity grant: Competitive equity package with unmatched upside potential