"AI Platform Engineer with DevOps Experience 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. Solid 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."