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
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 * Implementation of document ingestion and data-processing workflows * Development of suitable document ...
$52.75 - $72.75/hr
Design, development and optimization of complete Retrieval-Augmented Generation pipelines * Implementation of document ingestion and data-processing workflows * Development of suitable document ...
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
... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...
... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...
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 ...
Staff Application Security Engineer - AI & Agentic Systems
Madison, WI · On-site
$107 - $284/hr
Review and provide guidance on architectures utilizing large language models, retrieval augmented generation pipelines, AI agents, and AI-powered workflows. * Define and recommend identity ...
New
Staff Application Security Engineer - AI & Agentic Systems
Madison, WI · On-site
$107 - $284/hr
Review and provide guidance on architectures utilizing large language models, retrieval augmented generation pipelines, AI agents, and AI-powered workflows. * Define and recommend identity ...
New
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
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 retrieval-augmented generation (RAG) and computer vision pipelines that interpret plan sets, generate takeoffs, and surface contextual insights. * Combine LLMs, CV, and rule-based logic to ...
Quick apply
Architect retrieval-augmented generation (RAG) and computer vision pipelines that interpret plan sets, generate takeoffs, and surface contextual insights. * Combine LLMs, CV, and rule-based logic to ...
Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...
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 ...
Quick apply
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 ...
Quick apply
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 - $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
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
$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
Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...
Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...
Principal Software Architect - Hybrid
Milwaukee, WI · On-site
$180K - $200K/yr
Design AI-native platform capabilities, including retrieval-augmented generation (RAG), agent orchestration, evaluation frameworks, and production-ready AI architectures * Evaluate emerging AI ...
Principal Software Architect - Hybrid
Milwaukee, WI · On-site
$180K - $200K/yr
Design AI-native platform capabilities, including retrieval-augmented generation (RAG), agent orchestration, evaluation frameworks, and production-ready AI architectures * Evaluate emerging AI ...
Principal AI Engineer
Milwaukee, WI · On-site
$197K - $208K/yr
Architect production-scale RAG (Retrieval-Augmented Generation) pipelines, vector database strategies, and embedding models that ensure high-performance, accurate retrieval. Qualifications ...
Principal AI Engineer
Milwaukee, WI · On-site
$197K - $208K/yr
Architect production-scale RAG (Retrieval-Augmented Generation) pipelines, vector database strategies, and embedding models that ensure high-performance, accurate retrieval. Qualifications ...
Retrieval Augmented Generation information
What is a retrieval augmented generation?
A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.
What does a retrieval augmented generation engineer do?
A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.
What skills and qualifications are needed for retrieval augmented generation?
To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.
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 Retrieval Augmented Generation jobs in Wisconsin?
For Retrieval Augmented Generation jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Retrieval Augmented Generation jobs in Wisconsin look for?
The top searched job categories for Retrieval Augmented Generation jobs in Wisconsin are:
What cities in Wisconsin are hiring for Retrieval Augmented Generation jobs?
Cities in Wisconsin with the most Retrieval Augmented Generation job openings:
$90 - $120/hr
Other
Medical, Dental, Vision, Retirement
Posted 3 days ago
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
- 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
- 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
- Health, Vision, and Dental benefits to fit your needs
- 401k - 4% Company match
- Discretionary Time Off - 3 weeks off annually
- 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
About Pereview Software
Sourced by ZipRecruiter
Industry
Real estate
Company size
1 - 10 Employees
Headquarters location
Dallas, TX, US
Year founded
2011