AI Engineer; DFW Area

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Real Page is at the forefront of the Generative AI revolution, dedicated to shaping the future of artificial intelligence within the Property Tech domain. Our Agentic AI team is focused on driving innovation by building next generation AI applications and enhancing existing systems with Generative AI capabilities.

We are seeking an AI Engineer to help us with the development, deployment, and scaling of advanced AI applications that address real-world challenges. In this role, you will focus on designing, building, and scaling advanced AI applications in the Prop Tech space. You will work with state‑of‑the‑art foundation models, RAG architectures, and multi‑agent systems while partnering closely with product, design, and engineering teams.

You will be responsible for taking AI concepts from ideation to production, owning end‑to‑end solutions that improve our products and transform user experiences.

This team has been coming to our HQ one week out of the month - it will be expected that you will travel to the corporate HQ from time to time.

• Agentic AI & Generative Application Engineering
• Evaluate and use LLMs and multimodal models from multiple providers (e.g., OpenAI, Google, Anthropic, etc.) for:
  • Conversational assistants, task‑based copilots, and AI agents
  • Summarization, content generation, document understanding, generative analytics
  • Basic multimodal use cases (text + image, text + document, and soon video/audio)
• Design and implement agentic workflows (e.g., tool‑calling, multi‑step reasoning, multi‑agent orchestration) using:
  • Lang Chain, OpenAI Agents SDK, Google ADK or similar frameworks.
• Prompt Engineering & Guardrails
• Design and optimize prompts and system instructions to:
  • Improve task completion, reliability, and latency
  • Minimize hallucinations and toxic/unsafe outputs
• Implement structured outputs (JSON/JSON Schema)
• Develop function/tool calling and prompts that help AI call them properly
• Integrate safety/guardrail layers (e.g., content moderation APIs, Guardrails AI, Rebuff, custom policies) to keep conversations focused
• RAG & Knowledge Integration
  • Architect and implement RAG pipelines:
    • Choose and configure vector databases (e.g., PGVector, Vertex AI Search, Pinecone, etc.)
    • Build ingestion pipelines for internal data (documents, tickets, logs, property data, etc.)
    • Implement knowledge retrieval process that draws from multiple sources and uses reranking to improve the response quality.
• Explore emerging retrieval techniques (semantic caching, knowledge graphs, long‑context models, memory systems).
• Full‑Stack & System Integration
  • Build or integrate front‑end experiences (React / Vue / Svelte / Web RTC) for AI agents and copilots.
  • Develop back‑end services to orchestrate AI calls using REST, gRPC, Web Sockets, or MCP; ensure scalability and observability.
  • Integrate with internal systems and Prop Tech data sources using secure APIs and data contracts.
• Evaluation, Monitoring & Optimization
  • Design and maintain evaluation pipelines and benchmarks for LLM‑based features:
    • Offline metrics (accuracy, relevance, latency, cost)
    • Human‑in‑the‑loop evaluations where needed
• Use AI observability and tracing tools (e.g., Lang Smith, Open Telemetry, etc.) to monitor quality.
• Optimize for performance, reliability, latency, and cost through:
  • Model selection and routing (e.g., small vs. large models, Google vs. OpenAI)
  • Prompt/token optimization and caching strategies.
• Collaboration, Documentation & Delivery
  • Collaborate with cross‑functional teams (Product, Design, Domain Experts, Data Science, Platform Engineering) to define requirements and success metrics.
  • Participate in architecture and design reviews; write clear technical documentation and runbooks.
  • Contribute to shared libraries, templates, and best practices for AI development.
  • Work in an Agile environment and own features from design through deployment and maintenance.

• 5+ years of total experience in Software Engineering and/or Data Science, with at least 2 years focused on Generative AI/LLMs.
• Degree in Computer Science, Machine…