Website:
saarthee.ai
Job details:
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.
- 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.
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