Cloud & AI Engineer

Mandatory Skills

Artificial Intelligence,AWS,Microsoft Azure

• 6+

  of overall experience in software engineering, cloud engineering, AI/ML engineering, or related areas.
• Strong production experience with

  both AWS and Azure

  .
• Strong hands-on

  serverless development and architecture

  experience.
• Experience delivering production-grade

  AI/GenAI applications

  .
• Experience designing event-driven and distributed cloud architectures.
• Strong troubleshooting, system-design, and technical leadership capabilities.

• AI & Generative AI

• Amazon

  Bedrock

  and/or Azure OpenAI.
• Azure AI Foundry and Azure AI Search.
• Amazon SageMaker and/or Azure Machine Learning.
• LLMs, embeddings, vector search, RAG, prompt engineering, and AI agents.
• Integration of LLM applications with

  Lambda/Azure Functions

  .
• Serverless RAG and event-driven GenAI workflows.
• LLM evaluation, observability, guardrails, and responsible AI.

• Programming & Development

• Strong

  Python

  programming skills.
• Experience developing REST APIs using FastAPI, Flask, or equivalent.
• Strong knowledge of JSON, REST, authentication, OAuth/OIDC, and API integration.
• Experience with asynchronous programming and distributed systems.
• Strong understanding of software engineering principles, design patterns, and clean code.

• Cloud, DevOps & MLOps

• Strong hands-on experience with

  AWS and Azure

  .
• Docker and Kubernetes experience.
• Terraform, AWS CDK/SAM, or Azure Bicep.
• CI/CD using GitHub Actions, Azure DevOps, Jenkins, GitLab, or equivalent.
• MLOps/LLMOps using MLflow, SageMaker, Azure ML, or equivalent.
• Monitoring and observability using CloudWatch, Azure Monitor, Application Insights, OpenTelemetry, or equivalent.

• Security

• AWS IAM and Azure RBAC/Entra ID.
• Secrets management using AWS Secrets Manager and Azure Key Vault.
• Encryption at rest and in transit.
• VPC/VNet, private endpoints, security groups, and network isolation.
• API authentication, authorization, throttling, and secure API design.
• Understanding of enterprise AI security and data privacy.