Job Title

Location: Hyderabad, Bangalore, Noida, Chennai and PuneWe are seeking a Generative AI Developer to design, build, deploy, and operateAI-powered applications natively on AWS. The ideal candidate has strong experience in Python, hands-on expertise with AWS Bedrock (Agent Core SDK), AWS Strands SDK, and a solid foundation in cloud-native development, DevOps pipelines, and observability.You will work closely with platform, data, and product teams to deliver secure, scalable, and production-grade GenAI solutions.Key Responsibilities Generative AI DevelopmentDesign and implement Generative AI applications using AWS Bedrock, including:o Bedrock Agent Core SDK o Foundation Models (FM) integration Prompt engineering and agent orchestrationBuild AI workflows using AWS Strands SDK for scalable model execution and orchestrationDevelop and maintain reusable AI components, APIs, and services in PythonOptimize model performance, latency, and cost for production workloadsAWS-Native Application DevelopmentDesign and develop cloud-native applications on AWS using:o AWS Lambda, ECS/EKS, EC2 o API Gateway / Application Load Balancer o S3, DynamoDB, Aurora, OpenSearchImplement secure IAM roles and policies aligned with least-privilege principlesBuild event-driven and microservices-based architecturesDevOps & CI/CDDesign and maintain CI/CD pipelines using tools such as:AWS CodePipeline / CodeBuild / CodeDeploy o GitHub Actions / GitLab CI (as applicable)Infrastructure as Code (IaC) using:AWS CloudFormation / CDK / TerraformAutomate build, test, deployment, and rollbacks for GenAI workloadsObservability & OperationsImplement end-to-end observability for AI and application workloads:Amazon CloudWatch (logs, metrics, alarms) o AWS X-Ray tracing o Custom metrics for model behavior and performanceMonitor:Model response latency o Token usage and cost o Error rates and failure scenariosParticipate in incident management, root cause analysis, and system optimizationSecurity, Governance & ComplianceEnsure secure handling of data used in AI workflowsImplement:Encryption at rest and in transit o Secure secrets management (AWS Secrets Manager / Parameter Store)Follow enterprise standards for:Data privacy o AI governance o Responsible AI usageRequired Skills & Qualifications Technical Skills (Must Have) • Python (advanced proficiency)Hands-on experience with:o AWS Bedrock o AWS Bedrock Agent Core SDK o AWS Strands SDKStrong knowledge of AWS services and cloud-native design patternsExperience building and deploying applications natively on AWSCI/CD pipeline implementation and maintenanceObservability and monitoring in production environmentsPreferred Skills (Good to Have)Experience with:LLMs, RAG (Retrieval Augmented Generation)Vector databases and embeddingsKnowledge of containerization:Docker, Kubernetes (EKS)Familiarity with MLOps or Model Lifecycle ManagementExperience with cost optimization for AI workloadsUnderstanding of ethical AI and responsible AI principles