AI Software Engineer

KLATencor Corporation • Ann Arbor, MI • 8h ago

Company OverviewKLA 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.

Job Description/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, proto@type 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 frameworks.Design and develop end-to-end AI applications that leverage LLMs for business use cases

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

Proto@type 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 proto@type AI tools and iterate based on user feedback

Preferred Qualifications

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

Bachelor's degree in Computer Science, Software Engineering, or related field

3+ years o

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