Fullstack AI Engineer (AI)

Location: New York, United States; fully in-office 5 days per week

Salary: $150,000–$300,000 per year, plus equity and benefits

Company

hirify.global builds an AI Site Reliability Engineer for enterprise production environments, helping engineers troubleshoot, remediate, and prevent complex incidents.

What you will do

• Own end-to-end development of product capabilities that turn AI-driven insights into intuitive engineering workflows.
• Design scalable architectures across frontend applications, backend services, and data infrastructure.
• Build high-performance APIs and service layers integrating AI systems, backend services, and user interfaces.
• Develop interactive interfaces for operational data, including dashboards and time-series visualizations.
• Design systems for storing, processing, and retrieving large-scale operational data.
• Partner with product, AI researchers, and infrastructure engineers on real-time incident detection, root cause analysis, and automated remediation.

Requirements

• 8+ years of experience building and operating complex full-stack systems in production.
• Strong proficiency in Python and modern backend frameworks such as FastAPI.
• Deep experience with React and TypeScript for modern frontend applications.
• Experience designing and operating scalable backend services and APIs.
• Experience deploying and operating cloud applications on AWS, including containerized workloads with ECS or Kubernetes.
• Experience with relational databases such as PostgreSQL, distributed storage systems, and data-intensive applications.

Nice to have

• Experience building data-heavy interfaces, operational dashboards, or time-series visualizations.
• Experience with observability platforms, infrastructure tooling, or developer platforms.
• Familiarity with AI- and LLM-powered products or agentic systems.
• Background in large-scale, distributed, or data-driven applications.

Culture & Benefits

• Health insurance and additional employee benefits.
• Startup equity and competitive compensation.
• Flexible time off and a comprehensive technology setup.
• Collaborative, high-ownership environment with opportunities to shape technical direction.
• Small, high-impact team working on AI-powered infrastructure software.