Python Developer – Generative AI & Cloud (Agentic AI)

Overview In this role you will build and optimize Python-based AI/ML applications that power Generative AI workloads. You work with cross-functional teams to deliver scalable, production-ready AI solutions and integrate models with cloud platforms. You will design APIs, deploy models, and ensure reliable, secure, compliant AI systems. This position offers hands-on work with cutting-edge generative techniques in a cloud-first environment and meaningful impact on product capabilities. ResponsibilitiesDesign, develop, and optimize Python-based AI/ML applicationsBuild, fine-tune, and deploy Generative AI solutions using modern frameworksIntegrate AI models with cloud platforms and managed AI servicesDevelop scalable APIs and microservices supporting AI workloadsCollaborate with data scientists, ML engineers, and product teams to deliver end-to-end solutionsImplement CI/CD pipelines ensuring code quality, testing, and securityMonitor and optimize performance, reliability, and cost of cloud AI deploymentsEnsure compliance with data privacy, security, and responsible AI guidelines Key requirementsStrong hands-on experience in Python development for AI/ML workloadsPractical exposure to Generative AI models (LLMs, transformers, diffusion models)Understanding/practical knowledge on Agentic AI frameworksExperience working with cloud-native AI services on GCP/AWS/AzureUnderstanding of privacy-preserving ML techniques and responsible AI practicesExperience with prompt engineering including tool calling and guardrailsFamiliarity with MLOps pipelines, model deployment, and monitoringAbility to design scalable, production-ready AI solutionsPython development for AI/ML workloadsGenerative AI models (LLMs, transformers, diffusion models)Agentic AI frameworksCloud-native AI services (GCP, AWS, Azure)Privacy-preserving ML techniquesResponsible AI practices