AI Software Engineer|Manufacturing
Job Location:
Ann Arbor, MI - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
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 worlds leading technology providers to accelerate the delivery of tomorrows 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 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
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
Experience working in manufacturing
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
Bachelors degree in Computer Science Software Engineering or related field
3 years of professional software development experience
Strong programming skills in Python JavaScript or similar languages
Experience building and consuming RESTful APIs
Hands-on experience integrating LLM APIs or similar AI services into applications
Familiarity with prompt engineering and LLM interaction patterns
Experience developing web-based user interfaces (e.g. React Angular or similar frameworks)
Understanding of cloud platforms (e.g. Azure Snowflake)
Knowledge of software design principles version control and CI/CD practices
Minimum Qualifications
Masters Level Degree and related work experience of 6 years; OR Bachelors Level Degree and related work experience of 8 years; OR equivalent work experience
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.
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.
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview to become an employee or for equipment. Further KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLAs Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication an interview an offer of employment or that an employee is not legitimate please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
Required Experience:
IC
About Company
Calling the adventurers ready to join a company that's pushing the limits of nanotechnology to keep the digital revolution rolling. At KLA, we're making technology advancements that are bigger—and tinier—than the world has ever seen. Who are we? We research, develop, and manufacture t ... View more
