AI Platform Engineer with DevOps Experience

Job summary

Designs, develops, and operates enterprise AI/GenAI platforms while improving DevOps services and automation. Builds CI/CD pipelines and scalable LLMOps and MLOps frameworks for model deployment, monitoring, versioning, evaluation, and governance, using technologies such as GitHub Actions, Jenkins, Python, TypeScript, Docker, and Kubernetes.

Qualifications

• Proficiency in one or more of Java, Python, JavaScript/TypeScript, C#, or C/C++.
• Hands-on experience with GitHub Actions and Jenkins.
• Experience with Docker or Kubernetes.
• Strong software engineering experience across the software development lifecycle.
• Experience with DevOps practices and CI/CD pipeline development.
• Knowledge of AI/GenAI platforms, LLMOps, and MLOps.
• Understanding of application and system design patterns.
• Experience working in Agile/Scrum environments.
• Strong analytical, communication, ownership, and problem-solving skills.

Responsibilities

• Develop services that integrate with existing DevOps platforms and tools.
• Design, develop, and maintain CI/CD pipelines.
• Design, build, and operate enterprise AI/GenAI platforms supporting large language models.
• Develop LLMOps and MLOps frameworks for model deployment, monitoring, versioning, evaluation, and governance.
• Build reusable AI services for enterprise application teams.
• Coach application teams on DevOps tools, automation, and best practices.
• Promote developer experience, engineering excellence, and continuous improvement.
• Conduct proofs of concept, evaluate tools, and recommend technologies.
• Evolve DevOps services to meet application team requirements.
• Collaborate across teams to deliver reliable, scalable, production-ready solutions.

Skills

Languages

Relocation