AI Engineer

Job Description/Preferred Qualifications

Job Description Summary:

We are seeking an AI Engineer to lead the design and development of LLMpowered applications and enterprisegrade Generative AI solutions. This is a handson engineering role focused on building integrating and scaling productionready 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 cloudbased 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 LLMbased summarization Classification data extraction and validation workflows
• Design build and orchestrate multistep AI agents capable of tool usage reasoning and task execution.
• Develop custom copilots using Microsoft Copilot Studio.
• Design and implement RAG (RetrievalAugmented 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 .
• 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 enterprisescale Generative AI solutions.
• Strong experience with LLM orchestration tools such as LangChain LangGraph Semantic Kernel etc.
• Experience building enterprise chatbots using Bot Framework RAG pipelines vector search and multiturn conversation handling.
• Handson 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 cloudnative development
• Familiarity with frontend frameworks (React 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; Masters Level Degree and related work experience of 3 years; Bachelors 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

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