AI Software Development Engineer (LLM)

TL;DR

AI Software Development Engineer (LLM): Developing and integrating LLM-based solutions and AI agents into enterprise business systems with an accent on DevOps infrastructure and scalable AI pipelines. Focus on productizing AI applications, managing containerized microservices on Kubernetes, and ensuring production-grade performance within hirify.global's on-premise cloud environment.

Location: Must be based in the US (Phoenix, AZ; Folsom, CA; or Hillsboro, OR). This role follows a hybrid work model requiring time on-site.

Salary: $170,500–$275,580 USD

Company

A global leader in semiconductor manufacturing and technology innovation, powering the AI era through advanced silicon and packaging solutions.

What you will do

• Productize and integrate LLM and Agent AI solutions into business systems.
• Evaluate, benchmark, and select LLMs for enterprise-grade use cases.
• Develop backend APIs using Python and C#.
• Lead and enhance DevOps practices, including automation of AI/ML pipelines.
• Deploy and operate containerized, microservices-based applications using Kubernetes.
• Support CI/CD and production deployment of AI-enabled systems.

Requirements

• Must be based in the US and eligible to work in the United States.
• Bachelor's degree with 3+ years, Master's with 2+ years, or PhD with 1+ years of relevant experience in STEM.
• 2+ years of hands-on experience with DevOps, containers, and Kubernetes.
• 2+ years of experience with LLM evaluation, Agent AI, and backend API development.
• 2+ years of experience managing SQL/NoSQL databases via DBaaS.
• 2+ years of experience with Linux and virtualization.

Nice to have

• Experience building ML applications using Python or R.
• Knowledge of semiconductor manufacturing or related domains.
• Experience deploying and maintaining production-grade systems.

Culture & Benefits

• Competitive total compensation package including stock bonuses.
• Comprehensive health, retirement, and vacation benefit programs.
• Hybrid work model offering flexibility between on-site and off-site work.
• Opportunity to work on cutting-edge AI infrastructure at a global scale.