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Saarthee - Cloud & AI Engineer

Saarthee

Job Description :We are looking for an experienced Cloud & AI Engineer to design, develop, and deploy scalable AI/GenAI solutions across AWS and Microsoft Azure. The role involves serverless architectures, RAG applications, AI agents, cloud-native services, API development, DevOps/MLOps, security, observability, and enterprise AI integrations.Your Role Responsibilities and Duties :- Design and implement scalable AI/GenAI solutions across AWS and Azure.- Develop serverless and event-driven AI applications using AWS and Azure native services.- Build RAG applications, AI agents, LLM-based APIs, and intelligent automation solutions.- Develop production-grade AI services using Python and serverless compute.- Design asynchronous and event-driven architectures using queues, events, workflows, and functions.- Integrate LLM applications with AWS Lambda and Azure Functions.- Build CI/CD and Infrastructure-as-Code pipelines for cloud and serverless workloads.- Implement monitoring, logging, security, governance, and cost optimization.- Integrate AI services with enterprise applications, APIs, databases, and data platforms.- Develop REST APIs using FastAPI, Flask, or equivalent frameworks.- Implement secure API authentication, authorization, throttling, and integration.- Lead architecture discussions and provide technical guidance to engineering teams.Required Skills and Qualifications :- 68 years of experience in Software Engineering, Cloud Engineering, AI/ML Engineering, or related areas.- Strong hands-on experience with both AWS and Microsoft Azure.- Strong Python programming and software engineering fundamentals.- Experience delivering production-grade AI/GenAI applications.- Strong experience with serverless development and architecture.- Experience with LLMs, embeddings, vector search, RAG, prompt engineering, and AI agents.- Experience with Amazon Bedrock and/or Azure OpenAI.- Experience with Azure AI Foundry and Azure AI Search.- Experience with Amazon SageMaker and/or Azure Machine Learning.- Strong understanding of REST APIs, JSON, authentication, OAuth/OIDC, and API integration.- Experience with asynchronous programming and distributed systems.- Hands-on experience with Docker and Kubernetes.- Experience with Terraform, AWS CDK/SAM, or Azure Bicep.- Experience with CI/CD using GitHub Actions, Azure DevOps, Jenkins, GitLab, or equivalent.- Knowledge of AWS IAM and Azure RBAC/Entra ID.- Experience with AWS Secrets Manager and Azure Key Vault.- Understanding of encryption, VPC/VNet, private endpoints, security groups, and network isolation.- Strong troubleshooting, system design, analytical, and technical leadership skills.- BE/B.Tech or Master's degree in Computer Science or related field. (ref:hirist.tech)

Vacancy posted 1 day ago
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