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Assistant Retrieval Augmented Generation Jobs in Wisconsin

WI · On-site

$90 - $120/hr

Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...

New

$52.75 - $72.75/hr

Design, development and optimization of complete Retrieval-Augmented Generation pipelines ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

WI · On-site

$93.06 - $139.58/hr

Praktische ervaring met AI in productie: retrieval-augmented generation, evals, fine-tuning, agentic architectures. * Stevige basiskennis van de principes van software engineering en architecture

WI · On-site

$80 - $120/hr

Work with RAG (Retrieval Augmented Generation) frameworks for grounded responses. * Implement caching, batching, and optimization for cost reduction and performance. * Develop structured workflows ...

New

WI · On-site

$90 - $120/hr

Design and implement scalable AI-powered features such as copilots, Retrieval-Augmented Generation (RAG), search and other AI capabilities. * Build efficient end-to-end pipelines that handle large ...

Temporary AI Engineer

Oregon, WI · On-site

$120 - $170/hr

Build AI Copilots, AI Agents, and Retrieval-Augmented Generation (RAG) solutions to improve software engineering, testing, documentation, and operational workflows. * Develop intelligent automation ...

New

Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...

AI Specialist

Brookfield, WI · Hybrid

$125K - $160K/yr

Strong understanding of Generative AI, LLMs, Retrieval-Augmented Generation (RAG), and responsible AI practices. * Experience with Power Automate, SharePoint, Teams integrations, Microsoft Graph, and ...

AI Specialist

Brookfield, WI · Hybrid

$125K - $160K/yr

Strong understanding of Generative AI, LLMs, Retrieval-Augmented Generation (RAG), and responsible AI practices. * Experience with Power Automate, SharePoint, Teams integrations, Microsoft Graph, and ...

WI · On-site

$120 - $180/hr

Experience designing AI agents, multi-agentarchitecturesand tool-enabled AI systemsKnowledge of Retrieval-Augmented Generation (RAG), knowledgegroundingand trustworthy AI design principles

WI · On-site

$120 - $160/hr

Experience designing AI agents, multi-agentarchitecturesand tool-enabled AI systemsKnowledge of Retrieval-Augmented Generation (RAG), knowledgegroundingand trustworthy AI design principles

Lead AI Platform Engineer

Madison, WI · On-site

$99.30 - $198.70/hr

... Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications. * Complete the development ...

New

WI · On-site

$130 - $160/hr

Develop and operationalize generative AI applications leveraging large language models (LLMs), retrieval-augmented generation (RAG), copilots, and intelligent automation. * Partner with business ...

WI · On-site

$100 - $130/hr

Design and build AI agents and pipelines using LLMs, planning frameworks, and retrieval-augmented generation to automate financial workflows. * Develop anomaly detection, pattern recognition, and ...

New

WI · On-site

$120 - $180/hr

... Assistant, AI-gedreven media optimalisatie agents, AI-gestuurde zoekervaringen en agentic AI ... Retrieval Augmented Generation (RAG), AI-ondersteunde content generatie * Voorkeur voor ervaring in ...

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Assistant Retrieval Augmented Generation information

What is the difference between Assistant Retrieval Augmented Generation vs Data Analyst?

AspectAssistant Retrieval Augmented GenerationData Analyst
Required CredentialsKnowledge of AI, NLP, and retrieval systemsBachelor's in Statistics, Data Science, or related fields
Work EnvironmentTech companies, AI development teamsBusiness, finance, healthcare sectors
Industry UsageAI, machine learning, natural language processingData analysis, reporting, decision support

Assistant Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with language generation, often requiring expertise in AI and NLP. Data Analysts interpret data to generate insights, primarily using statistical tools. While both roles involve working with data, Assistant Retrieval Augmented Generation is centered on AI model development, whereas Data Analysts focus on data interpretation and reporting.

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:

What are popular job titles related to Assistant Retrieval Augmented Generation jobs in Wisconsin?

For Assistant Retrieval Augmented Generation jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Assistant Retrieval Augmented Generation jobs in Wisconsin look for?

The top searched job categories for Assistant Retrieval Augmented Generation jobs in Wisconsin are:

What cities in Wisconsin are hiring for Assistant Retrieval Augmented Generation jobs?

Cities in Wisconsin with the most Assistant Retrieval Augmented Generation job openings:

Infographic showing various Assistant Retrieval Augmented Generation job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

$90 - $120/hr

Other

Medical, Dental, Vision, Retirement

Posted yesterday

New


Job description

Pereview Software is seeking an AI Engineer to join our growing Product and Engineering team. This is a unique opportunity to help shape the future of AI-powered solutions within the commercial real estate industry.

In this role, you will design, build, and enhance intelligent applications that leverage Large Language Models (LLMs), document processing pipelines, Retrieval-Augmented Generation (RAG) architectures, and Azure AI technologies. You will work closely with our engineering, product, and leadership teams to transform complex real estate and financial data into actionable insights and automation solutions.

If you're passionate about applying AI to real-world business problems, enjoy building scalable solutions, and want to help drive the next generation of innovation at Pereview, we'd love to meet you.

Responsibilities
  • Design, develop, and maintain AI-powered applications and services within the Pereview platform
  • Take ownership of existing AI solutions and enhance their scalability, performance, and accuracy
  • Build and optimize document ingestion, OCR, and data extraction workflows for financial and real estate documents
  • Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies
  • Create, test, and refine prompts, structured outputs, and evaluation frameworks for Large Language Models
  • Integrate OpenAI and Azure OpenAI services into production applications
  • Develop APIs, backend services, and data pipelines supporting AI initiatives
  • Collaborate with product managers, engineers, and business stakeholders to identify opportunities for AI-driven innovation
  • Monitor, troubleshoot, and continuously improve AI model performance and system reliability
  • Participate in architectural planning and contribute to the long-term AI strategy of the organization
Qualifications
  • 3+ years of software development experience with Python and modern application development
  • Experience building AI/ML solutions using OpenAI APIs and/or Azure OpenAI Services
  • Experience developing Retrieval-Augmented Generation (RAG) solutions, including embeddings, chunking, vector search, and document retrieval
  • Experience building document processing and extraction pipelines, including PDF parsing, OCR, and structured data extraction
  • Strong understanding of prompt engineering, prompt evaluation, and structured output validation
  • Experience with LLM orchestration frameworks such as LangChain, Semantic Kernel, or similar technologies
  • Experience working with JSON, structured outputs, and data validation
  • Experience building data ingestion and transformation workflows
Preferred Qualifications
  • Experience working with document-heavy industries such as commercial real estate, financial services, lending, legal, or accounting
  • Experience processing mortgage statements, financial reports, legal documents, or similar unstructured data sources
  • Experience with Azure AI services and cloud-based AI deployments
  • Experience extending, maintaining, or scaling production AI solutions
Benefits
  • Health, Vision, and Dental benefits to fit your needs
  • 401k - 4% Company match
  • Discretionary Time Off - 3 weeks off annually
Location
  • To be considered for this position, applicants must live in Dallas, TX.
  • Ability to work in office Monday-Friday: 12400 Coit Rd. Ste 570 Dallas, TX 75251
  • We are not sponsoring H1B or OPT candidates
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