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Lead, AI Engineer

KLA

Lead, AI Engineer

KLA

Chennai, India

·

On-site

·

Full-time

·

1w ago

Required Skills

Python

LLM orchestration

RAG

REST APIs

Microservices

Docker

PowerShell

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

Job Description Summary:

We are seeking an AI Engineer to lead the design and development of LLM‑powered applications and enterprise‑grade Generative AI solutions. This is a hands‑on engineering role focused on building, integrating, and scaling production‑ready GenAI systems, rather than research or traditional data science.

The ideal candidate is a senior software engineer who has evolved into Generative AI application development, with strong practical experience in LLMs, prompt engineering, RAG architectures, agentic AI workflows, and cloud‑based AI platforms.

Key Responsibilities:

  • Design and develop Generative AI applications using modern LLM platforms such as Microsoft Foundry (preferred), AWS Bedrock, Claude, OpenAI.
  • Build Document Processing / Document Intelligence pipelines, including: OCR, LLM‑based summarization, Classification, data extraction, and validation workflows
  • Design, build, and orchestrate multi‑step AI agents capable of tool usage, reasoning, and task execution.
  • Develop custom copilots using Microsoft Copilot Studio.
  • Design and implement RAG (Retrieval‑Augmented Generation) solutions using vector search and contextual grounding.
  • Build agentic AI workflows and manage LLM orchestration.
  • Develop REST APIs and microservices to operationalize AI capabilities using FastAPI and/or Node.js.
  • Deploy, monitor, and operate GenAI solutions on Azure and other cloud platforms.

Required Skills:

  • 5+ years of professional software development experience, with 2+ years of proven experience delivering enterprise‑scale Generative AI solutions.
  • Strong experience with LLM orchestration tools such as Lang Chain, Lang Graph, Semantic Kernel, etc.
  • Experience building enterprise chatbots using Bot Framework, RAG pipelines, vector search, and multi‑turn conversation handling.
  • Hands‑on experience with OCR engines (Azure Form Recognizer, AWS Textract, Tesseract, etc.).
  • Strong Python development skills
  • Experience with Microsoft Foundry and Copilot Studio
  • Solid understanding of RAG architectures and vector search
  • Experience with REST APIs, microservices, and cloud‑native development
  • Familiarity with front‑end frameworks (React, Next.js, Angular) to deliver user-facing AI applications.
  • Familiarity with CI/CD, Docker, and DevOps practices

Minimum Qualifications

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

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 talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

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About KLA

KLA

KLA

Public

KLA Corporation is an American company based in Milpitas, California that makes wafer fab equipment. It supplies process control and yield management systems for the semiconductor industry and other related nanoelectronics industries.

10,001+

Employees

Milpitas

Headquarters

Reviews

3.6

26 reviews

Work Life Balance

3.2

Compensation

3.8

Culture

3.6

Career

3.1

Management

3.4

65%

Recommend to a Friend

Pros

Good management and supportive leadership

Competitive compensation and benefits package

Strong engineering department and talented peers

Cons

Limited career growth and promotion opportunities

Work-life balance issues with long hours

Chaotic work environment with minimal direction

Salary Ranges

0 data points

L4

L5

L4 · Data Scientist

0 reports

$147,667

total / year

Base

-

Stock

-

Bonus

-

$125,532

$169,802

Interview Experience

14 interviews

Difficulty

2.9

/ 5

Duration

14-28 weeks

Offer Rate

57%

Experience

Positive 36%

Neutral 36%

Negative 28%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Interview Rounds

5

Final Round/Onsite

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR

Past Experience