We are looking for an experienced AI/ML Engineer with strong expertise in building, deploying, and scaling enterprise AI applications. The ideal candidate will have hands-on experience with modern AI/ML platforms, LLM frameworks, cloud-native architectures, and full-stack development. You will be responsible for developing production-grade AI solutions, integrating GenAI capabilities into enterprise applications, and collaborating with cross-functional teams to deliver scalable, secure, and high-performing AI systems.Key ResponsibilitiesDesign, develop, and deploy enterprise AI/ML applications using modern cloud-native architectures.Build and operationalize LLM-powered applications leveraging vector search, AI gateways, and agentic workflows.Develop and deploy AI solutions on Databricks and AWS.Integrate AI services with enterprise applications using scalable APIs and microservices.Develop frontend and backend components for AI-powered applications.Build reusable, maintainable, and production-ready Python and TypeScript code.Manage model lifecycle, experimentation, and deployment using MLflow.Collaborate with product, platform, and engineering teams throughout the software development lifecycle.Follow DevOps, CI/CD, and security best practices for AI application deployment.Required SkillsAI/ML PlatformsDatabricks,AWS,Git/GitHubDatabricksDatabricks Apps,AI Vector Search, AI Gateway,MLflow,Databricks CLIAWS ServicesAmazon Bedrock,AgentCore,Amazon EKS,API Gateway,AWS Lambda,AWS CLIProgramming LanguagesPython,TypeScript,JavaScript,DockerfileFrameworks & Technologies-LangGraph,Strands,Node.js,React
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