AI Platform Engineer with DevOps Experience

We are hiring an AI Platform Engineer with DevOps Experience to design, build, and operate enterprise AI/GenAI platforms supporting LLMs and AI-powered applications, while driving DevOps automation, CI/CD, and developer experience across application teams.

Must-Have Skills

• DevOps, CI/CD, GitHub, GitHub Actions, Jenkins
• Docker / Kubernetes
• Python, JavaScript/TypeScript, or Java
• LLM / GenAI platforms
• LLMOps / MLOps frameworks
• RAG, Prompt Management, Embedding & Vector Search
• AI Gateway, Inference APIs, and Agentic AI Orchestration
• Application and system design patterns
• SDLC and production-class delivery
• Agile/Scrum methodologies
• Strong analytical, communication, and ownership mindset

Key Responsibilities

• Develop value-add services integrating with existing DevOps stacks.
• Develop CI/CD pipelines using GitHub Actions, TypeScript, Python, Groovy, and Jenkins.
• Design, build, and operate enterprise AI/GenAI platforms.
• Develop scalable LLMOps and MLOps frameworks for deployment, monitoring, versioning, evaluation, and governance.
• Build reusable AI services including RAG architectures, Vector Search, AI Gateway, Inference APIs, and Agentic AI frameworks.
• Coach application teams on DevOps offerings and best practices.
• Drive new tool adoption, POCs, automation, and continuous improvement.
• Evolve DevOps services to improve developer experience and delivery efficiency.

Nice to Have

• Elasticsearch and Kibana
• GitHub, GitHub Actions, Jenkins, UrbanCodeDeploy
• Azure / AWS
• Distributed applications
• Red Hat Ansible experience