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.