AI Platform Engineer with DevOps Experience

AI Platform Engineer – DevOps, CI/CD, LLMOps & MLOps

What Will You Do?

• Develop value-add services that integrate with the existing DevOps stack.
  
• Develop CI/CD pipelines using:
  • GitHub Actions
    
  • TypeScript
    
  • Python
    
  • Groovy
    
  • Jenkins
    
• Coach application teams on leveraging DevOps offerings.
  
• Champion developer experience and DevOps best practices.
  
• Participate in new tool adoption, POCs, and provide recommendations.
  
• Evolve DevOps services for application teams.
  
• Design, build, and operate enterprise AI/GenAI platforms supporting Large Language Models (LLMs) and AI-powered applications.
  
• Develop scalable LLMOps and MLOps frameworks for:
  • Model deployment
    
  • Monitoring
    
  • Versioning
    
  • Evaluation
    
  • Governance
    
• Build reusable AI services.
  

Must-Have Skills

• Strong engineering capabilities across the SDLC and production-class delivery.
  
• Strong analytical, communication, ownership, and problem-solving skills.
  
• Development experience in one or more of:
  • Java
    
  • Python
    
  • JavaScript / TypeScript
    
  • C#
    
  • C / C++
    
• Experience with application and system design patterns.
  
• Experience with Docker or Kubernetes.
  
• Experience with Agile methodologies, including Scrum.
  
• Strong experience with CI/CD and DevOps practices.
  
• Experience with GitHub Actions and Jenkins.
  
• Knowledge of AI/GenAI platforms, LLMOps, and MLOps.