Company Overview
Group/Division
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.
We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to [email protected] to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
Skills Required
- 5+ years of hands-on Python development experience building production 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 or Flask, asynchronous programming, microservices, and API integrations
- Experience integrating Large Language Models (LLMs) into applications
- Proficiency in designing data pipelines and working with SQL and 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 within sprint timelines
- Bachelor's degree in Computer Science, Engineering, or related field
KLA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KLA and has not been reviewed or approved by KLA.
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Retirement Support — Retirement offerings include a 401(k) plan with company matching and financial planning support. Student debt assistance and related financial benefits reinforce long-term savings and security.
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Equity Value & Accessibility — Ownership programs include an Employee Stock Purchase Plan and broad-based RSU participation that extend equity beyond a narrow group. These elements complement competitive pay and bonuses to strengthen total rewards.
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Leave & Time Off Breadth — Time-off programs span paid time off, paid company holidays, and paid volunteer time. Family care and bonding leave and back-up care services add flexibility during life events.
KLA Insights
What We Do
KLA develops industry-leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process-enabling solutions for manufacturing wafers and reticles. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward.









