Pereview Software

Commercial Real Estate

AIEngineer

$115–155k ~AI est. Dallas, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“AI Engineer at Pereview Software. Skills: AI Engineering, LLM, RAG, Document processing. Design AI-powered applications. Develop AI-powered applications”

Industry & Context.

Commercial Real Estate
Problems you'll solve

Troubleshoot AI model performance; Troubleshoot system reliability

What They're Looking For.

Must Have

3+ years software development, Python experience, OpenAI APIs experience, Azure OpenAI Services experience, RAG solutions experience, Document processing pipelines experience, Prompt engineering understanding, LLM orchestration frameworks experience, JSON experience, Structured outputs experience, Data validation experience, Data ingestion workflows experience, Data transformation workflows experience

Nice to Have

Document-heavy industries experience, Mortgage statements processing experience, Financial reports processing experience, Legal documents processing experience, Azure AI services experience, Cloud-based AI deployments experience, Production AI solutions scaling experience

What You'll Do.

Design AI-powered applications

Develop AI-powered applications

Maintain AI-powered applications

Enhance AI solutions scalability

Enhance AI solutions performance

Enhance AI solutions accuracy

Build document ingestion workflows

Build data extraction workflows

Develop RAG architectures

Maintain RAG architectures

Create evaluation frameworks

Test evaluation frameworks

Refine evaluation frameworks

Integrate OpenAI services

Integrate Azure OpenAI services

Develop backend services

Develop data pipelines

Collaborate with product managers

Collaborate with engineers

Collaborate with business stakeholders

Identify AI innovation opportunities

Monitor AI model performance

Troubleshoot AI model performance

Improve AI model performance

Monitor system reliability

Troubleshoot system reliability

Improve system reliability

Participate in architectural planning

Contribute to AI strategy

How You'll Work.

Team & Collaboration

Product and Engineering team; Engineering, product, leadership teams; Product managers, engineers, stakeholders

Full Job Description

**Ready to Apply? ** 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. **Please complete this brief survey:**[**https://go.cultureindex.com/p/niy2xbmLp8t8rect6dx**](https://go.cultureindex.com/p/niy2xbmLp8t8rect6dx) What You'll Be Doing * 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-t

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