AI Software Engineer Operations

To make electronics you need chips wafers transistors reticles and... To make these you must see test and manufacture them at scalefaster and better than ever before. Thats where KLA comes in. Whether youre early in your career or an experienced professional youll solve complex challenges work alongside brilliant minds and help shape the future of technology.

Group/Division

What Youll Do

In this role you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.

Lead and evolve global electrical engineering standards specifications and design guidelines across a diverse facilities portfolio.

Review electrical designs for capital projects infrastructure upgrades and critical facility improvements to support consistency quality and compliance.

Guide technical strategy for power distribution UPS generators transfer systems and other critical power infrastructure.

Partner with cross-functional teams to improve resiliency operational readiness and long-term facility performance.

Support renewable energy and electrification initiatives including solar battery storage EV charging and utility coordination where relevant.

Translate technical requirements into clear standards design guidance and executive-ready summaries.

Preferred Qualifications

The AI Software Engineer will design and build AI-driven applications powered by large language models (LLMs) with a focus on integrating AI capabilities into user-facing products. This role emphasizes application development orchestration and user experience rather than model training. The engineer will develop scalable backend services prototype intuitive user interfaces and enable seamless interaction between users and LLM-based systems.
This position requires a strong blend of software engineering systems thinking and practical AI implementation to deliver production-ready solutions that leverage LLM APIs and and develop end-to-end AI applications that leverage LLMs for business use cases

Responsibilities:

• Build and maintain backend services that orchestrate LLM interactions prompts and workflows

• Prototype and develop intuitive user interfaces that enable effective human-AI interaction

• Integrate LLM APIs (e.g. OpenAI Azure OpenAI Anthropic) into scalable applications

• Develop prompt engineering strategies and manage prompt lifecycle for performance and reliability

• Implement retrieval-augmented generation (RAG) architectures using internal and external data sources

• Design data pipelines and connectors to enterprise systems (e.g. databases APIs knowledge bases)

• Monitor evaluate and improve AI application performance using metrics such as latency cost and response quality

• Collaborate with product managers data scientists and business stakeholders to translate requirements into AI-enabled solutions

• Ensure responsible AI practices including privacy security and bias mitigation

• Rapidly prototype AI tools and iterate based on user feedback

Minimum Qualifications

• Bachelors degree in Computer Science Software Engineering or related field

• Minimum three (3) years of professional software development experience

• Strong programming skills in Python JavaScript or similar languages

• Experience building AI products using LLM frameworks (e.g. LangChain Semantic Kernel LlamaIndex)

• Knowledge of retrieval-augmented generation (RAG) and vector databases (e.g. Pinecone FAISS Azure Cognitive Search)

• Vector database (Milvus) for semantic search along with a knowledge graph (Neo4j)

• Experience orchestrating multi-step AI workflows or agent-based systems

• Familiarity with enterprise data platforms and integrations (e.g. Snowflake SAP APIs knowledge graphs)

• Experience designing conversational interfaces or chat-based applications

• Understanding of evaluation techniques for LLM outputs (quality grounding hallucination mitigation)

• Exposure to prompt optimization fine-tuning concepts (not necessarily hands-on training)

• Experience deploying scalable microservices architectures

• Strong UI/UX sensibility for AI-driven applications

• Experience working in cross-functional teams delivering production-grade AI solutions

• Familiarity with prompt engineering and LLM interaction patterns

• Experience developing web-based user interfaces (e.g. React Angular or similar frameworks)

• Experience working in with or for a global manufacturing company

About KLA

We provide advanced inspection tools metrology systems process solutions and computational analytics that make electronics possible tackling complex challenges. From electron and photon optics to machine learning and data analytics we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place join us.

Total Rewards

KLAs total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical dental vision life and other voluntary benefits 401(K) including company matching employee stock purchase program (ESPP) student debt assistance tuition reimbursement program development and career growth opportunities and programs financial planning benefits wellness benefits including an employee assistance program (EAP) paid time off and paid company holidays and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role level and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors including state minimum pay wage rates location job-related skills experience and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable your recruiter can share more about the specific pay range for your preferred location during the hiring process.

Use of AI Statement

At KLA our interviews seek to understand your individual skills problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation the use of AI recording tools or other technologies to generate suggest or provide responses during interviewswhether virtual or in personis not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI and we value candidates who share this mindset.

Equal Opportunity Statement

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment. Please contact us at or at 1- to request accommodation.

For additional information view the US Know Your Rights poster on the U.S. Equal Employment Opportunity Commission website.