Senior Software Engineer

KLA; Chennai District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

KLA in Chennai, India is seeking a Senior Software Engineer focused on building and supporting AI-driven software systems. This role involves developing reliable services and APIs that integrate machine learning capabilities into applications.

The ideal candidate will have 5-7 years of experience, strong programming skills in Python or C#, and expertise in building robust, production-ready software. The position offers a competitive benefits package in an inclusive work environment.

Qualifications

• 5-7 years of professional software engineering experience delivering production applications/services.
• Proficiency in at least one modern language such as Python or C#.
• Experience building APIs/services, working with databases, and shipping features via CI/CD pipelines.

Responsibilities

• Develop backend services and APIs that integrate AI/ML capabilities.
• Implement business logic around AI outputs.
• Build integration layers to connect AI services with enterprise systems.
• Own delivery of highly complex features/components with limited guidance.
• Write clean, maintainable code with documentation.

Skills

Backend Engineering: REST APIs, services, async processing, microservice patterns

Software Quality: unit/integration testing, CI/CD, code reviews, documentation

Operations: logging/metrics/tracing, performance tuning, incident triage

AI Integration (preferred): model inference integration, orchestration, guardrails/fallbacks

Data Fundamentals: SQL basics, data contracts, working with structured/semi‑structured data

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Python

C#

Cloud platforms (e.g., Azure/AWS/GCP)

Docker

Kubernetes

Job description

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

The Senior Software Engineer builds and supports software systems that enable AI‑driven capabilities in products and internal platforms. This role focuses on developing reliable services, APIs, and workflows that integrate machine learning and generative AI (where applicable) into real‑world applications. The engineer works closely with AI/ML engineers, data engineers, and product partners to deliver features from design through production support.

Key Responsibilities

• Develop backend services and APIs that integrate AI/ML capabilities into applications (e.g., inference endpoints, orchestration services, workflow automation).
• Implement business logic around AI outputs, including validation, confidence handling, fallback behaviors, and human‑in‑the‑loop patterns where needed.
• Build integration layers to connect AI services with enterprise systems and data sources.
• Own delivery of highly complex features/components with limited guidance: break down tasks, estimate effort, and deliver on schedule.
• Write clean, maintainable code with appropriate abstractions and documentation.
• Build robust testing (unit/integration) and ensure features meet performance, reliability, and security expectations.
• Instrument services with logging, metrics, and tracing; support production monitoring and incident triage.
• Troubleshoot issues across environments and participate in on‑call/operational support rotations as applicable.
• Apply basic responsible AI practices—logging, transparency, and guardrails—based on established team standards.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 5–7 years of professional software engineering experience delivering production applications/services.
• Proficiency in at least one modern language such as Python, C#, etc.
• Experience building APIs/services, working with databases, and shipping features via CI/CD pipelines.
• Solid understanding of software engineering fundamentals: data structures, debugging, testing, and code quality.
• Experience supporting AI or ML‑enabled applications (e.g., integrating inference services, building orchestration around model outputs).
• Familiarity with LLM application patterns (prompt orchestration, RAG basics, tool/function calling) and evaluation concepts.

Nice to Have

• Experience with cloud platforms (e.g., Azure/AWS/GCP) and containerization (Docker/Kubernetes).
• Exposure to event‑driven systems (queues/streams) and observability tooling.
• Experience with basic front‑end development or building AI‑assisted UX flows.

Core Skills

• Backend Engineering: REST APIs, services, async processing, microservice patterns
• Software Quality: unit/integration testing, CI/CD, code reviews, documentation
• Operations: logging/metrics/tracing, performance tuning, incident triage
• AI Integration (preferred): model inference integration, orchestration, guardrails/fallbacks
• Data Fundamentals: SQL basics, data contracts, working with structured/semi‑structured data

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.

Benefits

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.

Equal Opportunity Employer

KLA is proud to be an equal opportunity employer.