Full Stack Engineer (AI)

Location: Hybrid role based in Morrisville, North Carolina, United States, with in-office and/or in-person expectations.

Salary: $113,050–$168,300 per year, with final compensation based on location, qualifications, experience, and education.

Company

hirify.global delivers intelligent data infrastructure, unified storage, integrated data services, and cloud solutions that help organizations manage and use data across traditional workloads, AI, and multicloud environments.

What you will do

• Design, develop, test, and deploy scalable full stack applications for the Active IQ platform.
• Build efficient backend services and RESTful APIs using Python and/or Node.js.
• Develop responsive front-end interfaces with modern frameworks and collaborate with product managers, UX designers, and engineers.
• Apply data structures, algorithms, and software design concepts to solve complex engineering challenges.
• Participate in code reviews, architecture discussions, and technical planning while maintaining code quality and performance.
• Troubleshoot and debug issues across the full stack.

Requirements

• Bachelor’s degree with 2+ years of full stack software development experience, or a Master’s degree in Computer Science, Engineering, or a related field.
• Strong proficiency in Python and/or Node.js for backend development.
• Experience with front-end technologies such as React, Angular, JavaScript, HTML, and CSS.
• Expert-level understanding of data structures, algorithms, and software design concepts.
• Experience building and consuming RESTful APIs, working with microservices, and using SQL and/or NoSQL databases.
• Experience with CI/CD pipelines, Git, and Agile practices.
• Ability to use modern AI/ML and Generative AI tools to improve automation, system insights, and operational efficiency.
• Exposure to agent-AI development using MCP, Tools, and A2A protocols.

Nice to have

• Experience with the ONTAP upgrade domain, hirify.global storage solutions, Active IQ, or similar telemetry and analytics platforms.
• Familiarity with AWS, Azure, or GCP.
• Knowledge of Docker and Kubernetes.
• Experience in Agile/Scrum environments.
• Experience with LLM APIs and frameworks such as LangChain, LangGraph, Google ADK, Phoenix, Guardrails, or Mem0.

Culture & Benefits

• Hybrid work environment with in-office and/or in-person expectations communicated during recruitment.
• Health insurance, life insurance, retirement or pension plans, paid time off, and leave options may be included, subject to regional variations and local laws.
• Performance-based incentives, employee stock purchase plans, and/or restricted stock units may be available.
• Culture emphasizes initiative, impact, ownership, flexibility, collaboration, and inclusion.

Hiring process

• Applications are reviewed only when submitted through the hirify.global company website; emailing employees, recruiters, or Human Resources does not influence the application.
• Some stages for select roles may use AI tools to support application evaluation and candidate selection, with human decision-making retained.