Artificial Intelligence Engineer

Job description

Cloud AI engineer Bengaluru 8 - 12 Years Job Description • 8–12 years 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.