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.