RARR Technologies - Azure OpenAI Engineer - Generative AI in Delhi, भारत

About the Role:We are looking for an experienced Azure OpenAI Engineer to design, build, and operate scalable AI platform capabilities on Microsoft Azure, with a strong focus on Azure OpenAI, Azure Kubernetes Service (AKS), Generative AI, RAG, AI agents, and multi-agent https://jobeax.com/link/KolRTDQZdfDk7db0 role will involve building reusable AI platform components, APIs, deployment frameworks, agent harnesses, governance controls, and observability capabilities that enable secure and reliable enterprise AI https://jobeax.com/link/u9A4ADTvcJvxUftk Responsibilities:- Lead the design, development, and deployment of enterprise AI platforms on Microsoft Azure, with a strong focus on Azure AI services and AKS.- Build and maintain scalable, secure, and reusable platform components supporting LLM applications, RAG solutions, AI agents, and multi-agent workflows.- Develop reusable APIs, platform services, deployment templates, reference implementations, and engineering frameworks for enterprise AI use cases.- Build and enhance agent harnesses supporting orchestration, tool integration, memory, context and state management, policy enforcement, tracing, and exception handling.- Design and optimize RAG pipelines, including document ingestion, embeddings, vector search, retrieval, context construction, and response generation.- Integrate LLMs, AI services, enterprise APIs, and data sources securely and efficiently.- Implement AI guardrails, policy controls, content safety mechanisms, and responsible AI practices.- Build evaluation capabilities to measure AI/LLM quality, relevance, reliability, safety, and performance.- Develop and automate CI/CD pipelines for AI applications and platform components using GitHub Actions or equivalent tools.- Automate infrastructure provisioning and environment management using Terraform and Infrastructure as Code practices.- Implement security validation and deployment controls across AI workloads and cloud infrastructure.- Establish comprehensive observability, monitoring, logging, tracing, and alerting for AI applications and platform infrastructure.- Monitor and optimize AI workloads for scalability, availability, latency, reliability, and cost.- Collaborate with Architecture, Data Engineering, Security, DevOps, Product, and business teams to define AI platform standards, governance, and operating practices.- Provide technical leadership in enterprise AI platform adoption and integration.- Mentor engineering teams on AI platform development, deployment, security, and operational excellence.- Troubleshoot complex AI platform, deployment, integration, and production issues and drive root-cause resolution.- Stay current with Azure OpenAI, Azure AI, AKS, GenAI, agentic AI, and AI platform engineering advancements and identify opportunities for platform https://jobeax.com/link/pWDlXyPf3eN0p3as Skills & Experience:- 7 - 12 years of experience in software engineering, cloud engineering, AI/ML engineering, or platform engineering.- Strong hands-on experience with Microsoft Azure and cloud-native application development.- Strong expertise in Azure OpenAI and enterprise Generative AI application architecture.- Hands-on experience with AKS/Kubernetes, containers, and scalable AI workloads.- Strong understanding of LLMs, RAG, embeddings, vector search, prompt engineering, and AI agent architectures.- Experience building AI agents, multi-agent workflows, orchestration, tool/function calling, and stateful AI applications.- Strong understanding of agent memory, context management, exception handling, tracing, and policy enforcement.- Experience building and optimizing RAG and retrieval pipelines.- Strong experience with REST APIs, microservices, enterprise integrations, and distributed systems.- Hands-on experience with GitHub Actions or similar CI/CD platforms.- Strong experience with Terraform / Infrastructure as Code.- Experience implementing AI guardrails, security controls, responsible AI practices, and governance mechanisms.- Experience with AI/LLM evaluation, monitoring, observability, logging, and tracing.- Strong programming experience in Python and/or another modern programming language.- Good understanding of cloud security, identity, access control, secrets management, and secure data integration.- Strong analytical, troubleshooting, and problem-solving skills.- Strong technical leadership, communication, stakeholder management, and mentoring capabilities. (ref:hirist.tech)