Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

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 highperformance Python applications, focusing on Agentic AI architectures, automated reasoning workflows, and autonomous taskorchestration systems.
Build AI agents capable of planning, tooluse, retrievalaugmented generation (RAG), and multistep autonomous decision-making.
Develop endtoend 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 knowledgesharing 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 toolcalling 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 stakeholdermanagement skills.
Ability to work in fastpaced environments, multitask, and deliver highquality outputs within sprint timelines.
Positive attitude with willingness to learn evolving AI technologies.

Education:

Bachelor's degree in computer science, Engineering, or related field.

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Python Senior Specialist