Job Description

Position Summary: 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 Skillsand Qualifications:



- 6–8 years of experience in Software Engineering, Cloud Engineering, AI/ML Engineering, or related areas. - Solid 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.

📌 Cloud AI Consultant (Bengaluru)
🏢 SAARTHEE
📍 Bengaluru