Role Overview:We are seeking a highly skilled AI Platform Engineer to design, build, automate, deploy, and support enterprise AI platforms running on Google Cloud Platform (GCP). This hands-on engineering role focuses on enabling AI/ML and Generative AI solutions through scalable cloud-native platforms, automation frameworks, and operational excellence. The ideal candidate will possess strong expertise in Generative AI, Kubernetes, GKE, Terraform, CI/CD automation, observability, production operations, and platform engineering.
Key Responsibilities:- Build and support enterprise AI platform capabilities on GCP, creating automation solutions for scalability, reliability, and operational efficiency.
- Develop Retrieval-Augmented Generation (RAG) architectures and integrate OpenAI APIs and enterprise LLM services.
- Implement vector search, embeddings, prompt engineering, and AI agents.
- Deploy and manage applications on Google Kubernetes Engine (GKE), configuring deployments, services, ingress controllers, autoscaling, ConfigMaps, and Secrets.
- Develop Infrastructure as Code using Terraform.
- Build and maintain CI/CD pipelines, automating application testing, builds, containerization, deployments, and release validation.
- Implement Prometheus and Grafana monitoring solutions, creating enterprise dashboards, alerts, and operational intelligence.
- Analyze platform health, application performance, and operational metrics.
- Demonstrate strong Python development experience and experience building operational automation, with working knowledge of Java.
Required Skills:- Python
- Google Cloud
- Kubernetes
- Terraform
Qualifications: 
