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Entry Level Retrieval Augmented Generation Jobs in Wisconsin

Wisconsin

Data Scientist

Madison, WI

Machine learning and deep learning, including computer vision, large language model (LLM) applications, retrieval-augmented generation (RAG), and agentic workflows, along with model training and ...

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Entry Level Retrieval Augmented Generation information

What are entry level retrieval augmented generation jobs?

Entry level retrieval augmented generation jobs involve assisting in the development and optimization of AI systems that combine information retrieval techniques with generative models. Employees in these roles typically help build, test, and maintain systems where AI retrieves relevant data from large databases to enhance the accuracy and relevance of generated responses. These positions often require basic skills in programming, machine learning, and familiarity with natural language processing. They are ideal for recent graduates or those new to AI, offering opportunities to learn about modern AI architectures and contribute to innovative projects. Entry level workers may work under the guidance of senior engineers or researchers, supporting experimentation and evaluation tasks.

What are the key skills and qualifications needed to thrive as an Entry Level Retrieval Augmented Generation Specialist, and why are they important?

To thrive as an Entry Level Retrieval Augmented Generation Specialist, you need a foundational understanding of natural language processing (NLP), information retrieval, and basic programming skills, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, vector databases (like FAISS or Pinecone), and frameworks for large language models (LLMs) is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and troubleshoot solutions in team environments. These skills and qualities are crucial for building reliable RAG systems that deliver accurate and relevant information to users.

What is the difference between Entry Level Retrieval Augmented Generation vs Entry Level Data Scientist?

AspectEntry Level Retrieval Augmented GenerationEntry Level Data Scientist
Required CredentialsBasic programming, understanding of NLP and AI conceptsBachelor's in Data Science, Computer Science, or related field
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Industry UsageAI development, NLP applications, chatbot creationData analysis, predictive modeling, data-driven decision making

Entry Level Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with generative AI, requiring knowledge of NLP and programming. Entry Level Data Scientist involves analyzing data, building models, and deriving insights, often with a broader data analysis skill set. While both roles require technical skills, Retrieval Augmented Generation is more specialized in AI model development, whereas Data Scientists work across various data projects.

What are some common challenges faced by entry-level professionals working in Retrieval Augmented Generation (RAG) roles?

Entry-level professionals in Retrieval Augmented Generation (RAG) often encounter challenges such as understanding how to effectively combine information retrieval systems with large language models and adapting to rapidly evolving technologies. Balancing accuracy and efficiency when designing or fine-tuning retrieval pipelines can also be a learning curve. Additionally, you may need to collaborate closely with data engineers, machine learning specialists, and product teams to ensure the RAG system aligns with business requirements. Staying proactive in learning and engaging with peers can help overcome these challenges and accelerate career growth.
What are the most commonly searched types of Retrieval Augmented Generation jobs in Wisconsin? The most popular types of Retrieval Augmented Generation jobs in Wisconsin are:
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Entry Level Retrieval Augmented Generation jobs near you
Adjunct Instructor - Applied AI Lab

Adjunct Instructor - Applied AI Lab

Waukesha County Technical College

Pewaukee, WI

$95K - $114K/yr

Other

Posted 10 days ago

Job description

Description Under the direct supervision of the Applied AI Lab Executive Director, the AI instructor is responsible for delivering high-quality, hands-on instruction in artificial intelligence (AI) and potential subfields of AI such as generative AI, and machine learning. The instructor will engage learners in an active, applied learning environment aligned with the mission, goals, and strategic direction of the Applied AI Lab. This role emphasizes up-to-date, real-world AI practices and is aimed at preparing learners (primarily at beginner and intermediate levels) with skills that are relevant, and industry driven.

Training assignments may include instruction for both public and private contract training. Most instruction will be conducted in person, with the possibility of hybrid or online delivery in the future. Some travel may be required.

Pay will vary by course being taught. Characteristic Duties and Responsibilities (include, but not limited to) Deliver engaging, hands-on instruction in AI-related topics such as: Machine learning fundamentals, including supervised/unsupervised learning, evaluation metrics, and model deployment basics Natural language processing (NLP) fundamentals and applications (e.g., text classification, summarization, embeddings) Generative AI techniques and tools, including prompt engineering, fine-tuning, and use of large language models (LLMs) End-to-end GenAI workflows, including data preparation, model selection, API integration (e.g., OpenAI, Cohere, Anthropic), and output evaluation Agentic systems and multi-step reasoning, using frameworks like LangChain, AutoGen, or similar to build goal-directed AI agents Use of vector databases and retrieval-augmented generation (RAG) for building scalable, intelligent applications Responsible AI practices, including bias detection, model transparency, and safe deployment of generative systems Teach using modern tools and platforms such as Python, PyTorch, Hugging Face, LangChain, TensorFlow, OpenAI API, and other open-source or commercial GenAI tools. Apply active learning strategies to accommodate a variety of learning styles and professional backgrounds

Collaborate with the Applied AI Lab Specialist to review and refine existing curriculum for relevance and effectiveness, with oversight from Applied AI Lab Executive Director. Proactively suggest new AI-related curriculum ideas and topic areas to reflect current and emerging trends in the AI ecosystem. Maintain professional and technical knowledge through continuous learning and practical experience in the AI field.

Provide training during or outside of normal business hours, on or off the Pewaukee campus, depending on learner or client needs. Use learner feedback and performance data to improve instructional effectiveness. Maintain positive, professional relationships with learners, clients, and the Lab team.

Minimum Qualifications REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES: Strong understanding of AI/ML concepts and the ability to explain them clearly to learners with varying levels of experience Practical experience with at least two of the following: Python, PyTorch, Hugging Face, LangChain, TensorFlow, OpenAI API, Cohere, Model Context Protocol (MCP)or similar tools/protocols/platforms. Excellent communication, organization, and instructional skills, with the ability to simplify complex technical topics Proficiency in using applied learning methods, including project-based instruction and real-world use cases Ability to work independently, as part of a team, and with minimal supervision Familiarity with Zoom or other virtual learning platforms preferred EDUCATIONAL AND EXPERIENCE REQUIREMENTS: Associate degree or equivalent in computer science, data science, AI, or a related field required; Bachelor's or Master's degree preferred for certain subject areas At least 24 months of directly related occupational experience in AI, ML, NLP, or data science; one year of experience must be within the last five years Prior teaching, mentoring, or training experience is highly desirable, particularly with adult learners or working professionals Relevant certifications (e.g., TensorFlow Developer, AWS ML Specialty, OpenAI Training, etc.) are a plus Supplemental Information All applicants must complete the online job application and attach the following: -Resume -Cover Letter -Transcripts For more information, please contact Sarah Buszka, Executive Director - Applied AI Lab at sbuszka1@wctc.edu.

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