Software Engineer II (AI)

TL;DR

Software Engineer II (AI/Fullstack): Building internal platforms, APIs, and services to enable rapid prototyping and scaling of customer-facing solutions for a cybersecurity platform with an accent on AI-augmented development and enterprise-grade scalability. Focus on owning the full product lifecycle from prototype to general availability and optimizing high-throughput systems processing billions of events.

Location: Must be eligible to access controlled technology under U.S. export control laws

Company

hirify.global is an AI-native cybersecurity company protecting Fortune 500 enterprises from sophisticated cyber attacks.

What you will do

• Design and ship internal products, APIs, and services for forward-deployed teams to accelerate solution scaling.
• Manage the full product lifecycle, taking ideas from initial prototype (0→1) through to enterprise-grade rollout (10→100).
• Build secure, scalable systems capable of processing billions of security events for large enterprises.
• Integrate AI coding assistants into the development workflow to optimize productivity and automate tasks.
• Collaborate closely with field teams and customers to identify pain points and iterate on solutions.

Requirements

• 3+ years of professional software development experience.
• Backend development experience with Python, TypeScript, or Go.
• Proficiency in a modern frontend framework such as React, Angular, or Vue.
• Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
• Strong foundations in computer science, data structures, and performance optimization.
• Must be eligible to access controlled technology under U.S. export control laws.

Nice to have

• Experience building internal platforms or developer tools.
• Track record of taking products through multiple maturity stages (prototype → pilot → scale).
• Experience in GTM, sales engineering, or solutions engineering environments.

Culture & Benefits

• AI-native engineering culture that encourages the use of AI-assisted development.
• Opportunity to operate across various product maturity stages, from experimental to GA.
• High-signal feedback loop by building tools for highly technical internal users.
• Mission-driven environment focused on combating modern cyber threats.

Hiring process

• AI-Augmented Development Challenge: A take-home assignment (2–4 hours) to build real-world features using AI assistants.
• Multi-stage video interviews including identity validation.
• Pre-employment security and background checks.