Python Senior Specialist

Company Overview Group/Division The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence. Job Description/Preferred Qualifications Role description: Collaborate closely with business stakeholders to gather requirements and translate them into robust, scalable AI-driven solutions. Design, develop, and maintain high performance Python applications, focusing on Agentic AI architectures, automated reasoning workflows, and autonomous task orchestration systems. Build AI agents capable of planning, tool use, retrieval augmented generation (RAG), and multi step autonomous decision-making. Develop end to end pipelines including data ingestion, vector embeddings, model integration, orchestration logic, and monitoring. Implement complex business logic, model interaction rules, and state management for agent-based systems. Participate in sprint planning, daily standups, and agile ceremonies while ensuring timely delivery of development milestones. Conduct and coordinate user acceptance testing (UAT) for AI features, resolve issues, and support deployment to production environments. Prepare and maintain technical documentation, workflows, and operating procedures for AI services and Python-based applications. Mentor junior developers, lead knowledge sharing sessions, and introduce best practices for Python engineering and AI development. Minimum Qualifications Experience / Knowledge / Skills: 5+ years of hands-on Python development experience, building production-grade backend services or data-intensive applications. 2+ years working with modern AI ecosystems, including Agentic AI frameworks, RAG pipelines, vector stores, and tool calling workflows. Strong expertise with FastAPI / Flask, asynchronous programming, microservices, and API integrations. Experience integrating Large Language Models (LLMs) into applications. Proficiency in designing data pipelines and working with SQL/NoSQL technologies. Exposure to cloud platforms and containerization. Strong analytical and debugging skills with ability to translate business needs into technical implementations. Excellent communication, collaboration, and stakeholder management skills. Ability to work in fast paced environments, multitask, and deliver high quality outputs within sprint timelines. Positive attitude with willingness to learn evolving AI technologies. Education : Bachelor s degree in computer science, Engineering, or related field.