Ann Arbor, MI · On-site
$111K - $188K/yr
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 ...
Ann Arbor, MI · On-site
$111K - $188K/yr
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 ...
Detroit, MI · On-site
$59.50 - $77.25/hr
Build Retrieval-Augmented Generation solutions using Azure AI Search, vector databases, embeddings ... Strong experience developing RAG-based applications. Hands-on experience with Azure AI Search ...
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Detroit, MI · On-site
$59.50 - $77.25/hr
Build Retrieval-Augmented Generation solutions using Azure AI Search, vector databases, embeddings ... Strong experience developing RAG-based applications. Hands-on experience with Azure AI Search ...
Troy, MI · On-site
Experiment with and implement Retrieval Augmented Generation (RAG), embeddings, vector databases, and other AI-driven architectures * Create seamless full-stack experiences from database to user ...
Troy, MI · On-site
Experiment with and implement Retrieval Augmented Generation (RAG), embeddings, vector databases, and other AI-driven architectures * Create seamless full-stack experiences from database to user ...
Grand Rapids, MI · On-site
$100K - $137K/yr
Three (3) or more years of experience building LLM context, retrieval-augmented generation (RAG), or knowledge-management systems, required * Experience defining reusable engineering assets, patterns ...
Grand Rapids, MI · On-site
$100K - $137K/yr
Three (3) or more years of experience building LLM context, retrieval-augmented generation (RAG), or knowledge-management systems, required * Experience defining reusable engineering assets, patterns ...
Grand Rapids, MI · On-site
$100K - $137K/yr
Three (3) or more years of experience building LLM context, retrieval-augmented generation (RAG), or knowledge-management systems, required * Experience defining reusable engineering assets, patterns ...
Grand Rapids, MI · On-site
$100K - $137K/yr
Three (3) or more years of experience building LLM context, retrieval-augmented generation (RAG), or knowledge-management systems, required * Experience defining reusable engineering assets, patterns ...
Design and scale Retrieval-Augmented Generation (RAG) pipelines using vector databases (pgvector, Pinecone, Weaviate, Qdrant), hybrid search, reranking, and domain-specific chunking strategies. * GCP ...
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Design and scale Retrieval-Augmented Generation (RAG) pipelines using vector databases (pgvector, Pinecone, Weaviate, Qdrant), hybrid search, reranking, and domain-specific chunking strategies. * GCP ...
Warren, MI · On-site
$140 - $190/hr
Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs and integration patterns, and Data structures, algorithms, and basic ML/LLM concepts.* Experience ...
Warren, MI · On-site
$140 - $190/hr
Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs and integration patterns, and Data structures, algorithms, and basic ML/LLM concepts.* Experience ...
Three (3) or more years of experience building LLM context, retrieval-augmented generation (RAG), or knowledge-management systems, required * Two (2) or more years of experience defining reusable ...
Three (3) or more years of experience building LLM context, retrieval-augmented generation (RAG), or knowledge-management systems, required * Two (2) or more years of experience defining reusable ...
Auburn Hills, MI · On-site
$108K - $130K/yr
Key Responsibilities - Design, develop, and support RAG (Retrieval-Augmented Generation) pipelines for the application modernization initiative. - Develop Python-based solutions and data/ML workflows ...
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Auburn Hills, MI · On-site
$108K - $130K/yr
Key Responsibilities - Design, develop, and support RAG (Retrieval-Augmented Generation) pipelines for the application modernization initiative. - Develop Python-based solutions and data/ML workflows ...
Three (3) or more years of experience building LLM context, retrieval-augmented generation (RAG), or knowledge-management systems, required * Two (2) or more years of experience defining reusable ...
Three (3) or more years of experience building LLM context, retrieval-augmented generation (RAG), or knowledge-management systems, required * Two (2) or more years of experience defining reusable ...
Warren, MI · On-site +1
Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs and integration patterns, and Data structures, algorithms, and basic ML/LLM concepts. * Experience ...
Warren, MI · On-site +1
Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs and integration patterns, and Data structures, algorithms, and basic ML/LLM concepts. * Experience ...
Warren, MI · On-site
Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs and integration patterns, and Data structures, algorithms, and basic ML/LLM concepts. * Experience ...
Warren, MI · On-site
Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs and integration patterns, and Data structures, algorithms, and basic ML/LLM concepts. * Experience ...
Optimize AI performance through prompt engineering, embeddings, and retrieval-augmented generation (RAG). * Integrate AI into client workflows using APIs, automation tools, and third-party systems.
Optimize AI performance through prompt engineering, embeddings, and retrieval-augmented generation (RAG). * Integrate AI into client workflows using APIs, automation tools, and third-party systems.
Optimize AI performance through prompt engineering, embeddings, and retrieval-augmented generation (RAG). * Integrate AI into client workflows using APIs, automation tools, and third-party systems.
Optimize AI performance through prompt engineering, embeddings, and retrieval-augmented generation (RAG). * Integrate AI into client workflows using APIs, automation tools, and third-party systems.
Retrieval-Augmented Generation (RAG) * Machine Learning lifecycle concepts * Strong communication and collaboration skills with technical and non-technical stakeholders. Preferred Qualifications:
Retrieval-Augmented Generation (RAG) * Machine Learning lifecycle concepts * Strong communication and collaboration skills with technical and non-technical stakeholders. Preferred Qualifications:
Dearborn Heights, MI · On-site
$96K - $132K/yr
Strong understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. * Proven experience in building and ...
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Dearborn Heights, MI · On-site
$96K - $132K/yr
Strong understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. * Proven experience in building and ...
Ann Arbor, MI · On-site
$42.06 - $46.73/hr
Contribute to projects such as testing AI chat assistants and copilots, validating AI agent workflows, evaluating retrieval augmented generation (RAG) search quality, automating AI response ...
Ann Arbor, MI · On-site
$42.06 - $46.73/hr
Contribute to projects such as testing AI chat assistants and copilots, validating AI agent workflows, evaluating retrieval augmented generation (RAG) search quality, automating AI response ...
Ann Arbor, MI · On-site
$47.82 - $53.13/hr
Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions to enhance information access. * Build robust APIs, microservices, and backend services to support ...
Ann Arbor, MI · On-site
$47.82 - $53.13/hr
Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions to enhance information access. * Build robust APIs, microservices, and backend services to support ...
Ann Arbor, MI · On-site
$47.82 - $53.13/hr
Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions to enhance information access. * Build robust APIs, microservices, and backend services to support ...
Ann Arbor, MI · On-site
$47.82 - $53.13/hr
Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions to enhance information access. * Build robust APIs, microservices, and backend services to support ...
Build and architect AI-driven systems - Design and lead the implementation of enterprise-scale AI systems, including multi-component pipelines, retrieval-augmented generation (RAG) architectures, and ...
Build and architect AI-driven systems - Design and lead the implementation of enterprise-scale AI systems, including multi-component pipelines, retrieval-augmented generation (RAG) architectures, and ...
For Retrieval Augmented Generation Rag jobs in Michigan, the most frequently searched job titles are:
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Cities in Michigan with the most Retrieval Augmented Generation Rag job openings:
$111K - $188K/yr
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 19 days ago
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 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, 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 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
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
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
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.
