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AI Platform Engineer with DevOps Experience

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Summary

Designs, builds, and operates enterprise AI/GenAI platforms for LLMs and AI-powered applications, while evolving DevOps services, running CI/CD tooling, and coaching application teams on best practices. Core stack: Python, TypeScript, GitHub Actions, Jenkins, Docker/Kubernetes, LLMOps/MLOps.

What Will You Do?

  • Develop value-add services that integrate with the existing DevOps stack.
  • GitHub Actions
  • TypeScript
  • Python
  • 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.

Skills

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See also

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