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Key skills for this role
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
Bachelor’s 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
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Minimum Qualifications
Master's Level Degree and related work experience of 6 years; OR Bachelor's 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 talent.acquisition@kla.com or at +1-408-352-2808 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 KLA’s 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 talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
KLA Corporation is a global leader in semiconductor process control and yield management, designing and manufacturing advanced inspection and metrology systems used throughout the semiconductor manufacturing process.
Visit company websiteJobs and hiring trendsUSD 111100-188900 / year
Full-time
Mid · 3+ years experience
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