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Rag Engineer Jobs in Appleton, WI (NOW HIRING)

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Rag Engineer information

See Appleton, WI salary details

$58.1K

$88.3K

$149.8K

How much do rag engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for rag engineer in Appleton, WI is $88,314.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $102,500.00 per year, depending on experience, location, and employer.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

How to become a rag engineer?

To become a rag engineer, you typically need a bachelor's degree in engineering, materials science, or a related field. Relevant skills include knowledge of manufacturing processes, quality control, and proficiency with industry tools and equipment; certifications in quality management or safety can also be beneficial. Gaining experience through internships or entry-level positions in manufacturing environments is important for career advancement.

What cities near Appleton, WI are hiring for Rag Engineer jobs?

Cities near Appleton, WI with the most Rag Engineer job openings:

Rag Engineer jobs near you
Infographic showing various Rag Engineer job openings in Appleton, WI as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $88,314 per year, or $42.5 per hour.

Gen AI / ML Engineer (RAG & Agentic AI)

Rivi Consulting Group

Appleton, WI • On-site

Other

Posted 8 days ago

Job description

Position Title: Gen AI / ML Engineer (RAG & Agentic AI)

Role Summary

We are seeking a skilled engineer with expertise in machine learning, Generative AI, and autonomous agent systems. You will build next-generation applications that connect Large Language Models (LLMs) to enterprise data and external tools. You will bridge the gap between deep AI theory and scalable software engineering.

Key Responsibilities

  • Build Agentic Systems: Develop autonomous agents capable of reasoning, planning, and multi-step task execution.

  • Implement RAG Pipelines: Build and optimize Retrieval-Augmented Generation workflows using vector databases.

  • Orchestrate Tools and APIs: Connect models to external business systems, databases, and APIs for real-world execution.

  • Manage ML Pipelines: Design scalable, production-ready machine learning pipelines on cloud platforms.

  • Monitor and Evaluate: Track model accuracy, latency, cost efficiency, and safety guardrails.

Required Skills & Qualifications

  • Core Programming: Strong coding skills in Python.

  • AI & LLM Experience: Hands-on work with foundation models (GPT, Claude, Gemini) and agent frameworks (LangChain, LlamaIndex, Semantic Kernel).

  • Data Infrastructure: Experience with vector databases (Pinecone, FAISS, Weaviate, Chroma) and embeddings.

  • Cloud & DevOps: Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) and container tools like Docker.

  • Background: Bachelor’s or Master’s degree in Computer Science, AI, or a related field, plus 3+ years of relevant development experience.

Preferred Qualifications

  • Knowledge of fine-tuning techniques (LoRA, PEFT, RLHF).

  • Experience with knowledge graphs or GraphRAG.

  • Familiarity with LLMOps, CI/CD pipelines, and model governance.

Please send us your updated resume.

Regards,

Nagendra Namagiri I BD & AM

Cell:

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