Sr. Software Engineer - AI/ML

Company Overview

Group/Division

Job Description/Preferred Qualifications

Our Enterprise Analytics team is at the forefront of transforming data into actionable insights that drive strategic decisions across the organization. We are a collaborative, cross-functional group of engineers, data scientists, analysts, and architects who value:

• Innovation: We embrace new technologies and encourage experimentation to solve complex business problems.
• Ownership: Every team member is empowered to take initiative and drive projects from concept to production.
• Transparency: We foster open communication, regular knowledge sharing, and inclusive decision-making.
• Continuous Learning: We support professional development through certifications, tech talks, and hands-on learning.
• Impact: Our work directly influences enterprise-wide initiatives, from customer experience to operational efficiency.

You’ll be joining a team that believes in building with purpose, where engineering excellence meets data-driven strategy.

Key Responsibilities

• Design and deliver LLM-powered applications such as: Retrieval-Augmented Generation (RAG) with enterprise knowledge sources
• Agentic workflows (tool/function calling, orchestration, multi-step reasoning)
• Text extraction/summarization, classification, Q&A, and document intelligence
• Build and optimize retrieval pipelines: chunking strategies, embeddings, vector search, reranking, grounding, and evaluation.
• Create robust evaluation frameworks: golden datasets, automated scoring, offline/online A/B testing, and continuous regression testing for prompts/models.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 6+ years experience in software engineering, ML engineering, or applied AI roles.
• Strong programming expertise in Python, solid SQL, and strong software engineering fundamentals (APIs, testing, CI/CD, code quality).
• Demonstrated experience building and deploying AI/ML systems into production with measurable outcomes.
• Hands-on experience building LLM applications (RAG/agents/tool calling) and implementing evaluation/monitoring practices.
• Experience with vector databases / search (e.g., Azure AI Search or equivalent), rerankers, and embedding lifecycle management.
• Familiarity with Responsible AI practices: privacy, security reviews, model risk management, bias/fairness, and explainability.

Core Technical Skills

• LLM Apps: RAG, agents, tool/function calling, prompt engineering, evaluation harnesses, guardrails
• Languages: Python (required), SQL (required)
• Cloud: Azure (deployments, security, observability, CI/CD)
• Ops: Monitoring, incident response, SLO/SLA management, cost optimization
• Data: ETL/ELT, distributed processing concepts, data quality frameworks

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

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