Noida, Uttar Pradesh
Job Summary
Role Summary
Build, automate, and operate enterprise AI platforms and AI-native applications. Drive Platform Engineering, DevOps, MLOps/LLMOps, Kubernetes, Cloud, and GenAI solution delivery.
Key Responsibilities
Design and develop AI applications, APIs, and microservices.
Build and manage AI platforms on Azure/AWS/GCP and Kubernetes/OpenShift.
Implement CI/CD, GitOps, Infrastructure as Code, and DevSecOps practices.
Develop and operationalize MLOps/LLMOps pipelines.
Deploy and manage LLMs, RAG solutions, vector databases, and AI services.
Enable observability, reliability, security, and cost optimization for AI workloads.
Skill Requirements
Python, FastAPI, REST APIs
GenAI, RAG, LangChain/LangGraph
Kubernetes/OpenShift, Docker
Azure DevOps, GitHub Actions, Jenkins
Terraform, ArgoCD, GitOps
Azure/AWS/GCP
PostgreSQL, Vector Databases
Monitoring: Grafana, Prometheus, OpenTelemetry
Other Requirements
Azure AI Foundry, Azure ML, Vertex AI
MLflow, KServe, vLLM, NVIDIA AI Stack
Agentic AI and Multi-Agent Systems
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