AI Platform Engineer with DevOps
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Summary
An AI Platform Engineer with DevOps skills who builds and operates enterprise AI/GenAI platform services (RAG, vector search, inference APIs, agentic orchestration) on top of a DevOps stack. Day to day they develop CI/CD pipelines with GitHub Actions, Docker/Kubernetes, and languages like TypeScript, Python, and Groovy, while coaching application teams on DevOps practices.
Role: AI Platform Engineer with DevOps Experience - DevOps, Docker (Software), GitHub, GitHub Actions, Information Technology (IT) Infrastructure, Kubernetes, Programming Languages, Red Hat Ansible,Software Product Design, Software Product Technical Knowledge, Software GenAI, LLM
What will you do?
- Develop value-add services which integrate with the existing DevOps stack
- Develop CICD pipelines using GitHub Actions, TypeScript, Python, Groovy and Jenkins
- Coach application teams on how to leverage DevOps offerings
- Champion developer-experience and best practices in conjunction with DevOps to ensure no developer is left behind
- Participate in new tool adoption, POC process and provide recommendations
- Evolve DevOps services beyond current state for application teams
What do you need to succeed?
Must-have:
- An engineer mindset, SDLC experience with production class delivery, strong analytical mindset, communication skills, and sense of ownership / drive
- Experience with application and system design patterns
- Experience with Docker or Kubernetes
- Experience with Agile methodologies, ie SCRUM
- 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, and governance.
Build reusable AI services including:
- Retrieval Augmented Generation (RAG) architectures
- Embedding and Vector Search Services
- AI Gateway and Inference APIs
- Agentic AI Orchestration Frameworks
Nice-to-have:
- Experience with Elastic Search and Kibana
- Experience using DevOps CICD tools such as GitHub, GitHub Actions, Jenkins, UrbanCodeDeploy
- Experience with a public cloud technology, i.e. Azure, AWS
- Experience building or supporting distributed applications