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.