Software Engineer (API Integrations)

TL;DR

Software Engineer (API Integrations): Building and maintaining third-party API integrations and scalable infrastructure for AI-native products with an accent on reliability, data normalization, and high-volume service design. Focus on developing robust connectors and backend services that enable AI systems to access external intelligence sources safely and at scale.

Location: Must be based in the United States, with a requirement for at least 6 hours of overlap with PST (8 am to 2 pm PST).

Company

hirify.global provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt illicit financial activity.

What you will do

• Design, build, and maintain third-party API integrations that power Agentic products and workflows.
• Develop scalable integration infrastructure, shared services, and internal tooling to streamline data source onboarding.
• Build reliable APIs, backend services, and data pipelines supporting high-volume, mission-critical product experiences.
• Collaborate with cross-functional teams to translate integration needs into technical roadmaps.
• Improve the observability, reliability, and maintainability of the integration platform.

Requirements

• Must be based in the United States.
• Experience designing and building scalable backend systems, APIs, and production software.
• Strong understanding of third-party API integration patterns (authentication, rate limits, retries, error handling).
• Experience with storage systems such as relational databases, queues, caches, or event-driven architectures.
• Strong ownership mindset and ability to drive projects from requirements through production launch.
• Ability to communicate complex technical ideas to both technical and non-technical stakeholders.

Nice to have

• Experience with OSINT data sources.
• Experience with AI Production Systems.

Culture & Benefits

• High-velocity, high-ownership team environment focused on shipping useful systems quickly.
• Weekly sprint schedule with opportunities for technical leadership.
• Culture built on psychological safety, trust, and accountability.
• Expectation of AI fluency to accelerate workflows and problem-solving.
• Collaborative environment working at the intersection of AI and national security.