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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Pereview Software - **Location:** Dallas, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Microsoft Azure, Cloud Engineering, Data Validation, Data Mining, Document Retrieval, JSON, Python (Programming Language), Machine Learning, Azure Machine Learning, Search Technologies, Software Engineering, Data Ingestion, Large Language Models, Prompt Engineering, Reliability of Systems, Generative AI, Backend, Kubernetes, Data Pipelines - **Published:** June 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=363032a843c406a4 ## About the Role Do you have experience in Software engineering?, * 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 ## Description 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 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-term AI strategy of the organization ## Related Videos - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer) - [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn)