RealPage, Inc. · 4 weeks ago
AI Engineer (DFW Area)
US-TX-Richardson
Full-time
Hybrid
Mid, Senior Level
$107K/yr - $183K/yr
5+ years expRealPage, Inc. is at the forefront of the Generative AI revolution, dedicated to shaping the future of artificial intelligence within the Property Tech domain. We are seeking an AI Engineer to help develop, deploy, and scale advanced AI applications that address real-world challenges, focusing on building and enhancing systems with Generative AI capabilities.
Document ManagementPaymentsProperty ManagementPropTechSaaSSoftware
Responsibilities
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:
LangChain, OpenAI Agents SDK, Google ADK or similar frameworks
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
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)
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, WebSockets, or MCP; ensure scalability and observability
Integrate with internal systems and PropTech data sources using secure APIs and data contracts
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., LangSmith, OpenTelemetry, 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
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
Qualification
Required
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 Learning, Data Science, or related field, or equivalent practical experience
Strong proficiency in Python for AI/ML, data pipelines, and back-end services
Strong proficiency in JavaScript/TypeScript for front-end and/or Node services
Strong proficiency in SQL and experience working with relational databases and basic data modeling
Experience working with coding assistants like Windsurf, Cursor, Codex, etc
Proven experience building production-grade software
Experience writing clean, testable, maintainable code
Experience using CI/CD pipelines, code reviews, and Git workflows
Hands-on experience with at least one agentic/orchestration framework (OpenAI Agents SDK, Google ADK, LangChain, etc.)
Hands-on experience with LLM APIs and/or open-source models (e.g., via OpenAI, Google, Hugging Face, Ollama)
Hands-on experience with vector embeddings, vector databases, and RAG architectures
Experience with one or more major cloud platforms (GCP, Azure, and AWS)
Experience with Docker for containerization
Experience with Kubernetes or a managed container service (e.g., EKS, GKE, AKS)
Strong communication skills and ability to collaborate with both technical and non-technical stakeholders
Preferred
Experience with voice-enabled AI agents (STT, TTS, WebRTC, Twilio Voice, Socket.IO, VAPI)
Experience with multimodal models (e.g., GPT models including Realtime, Gemini Pro Vision, etc.)
Experience orchestrating multiple models (routing, ensembles, fallback strategies)
Familiarity with AI experiment tracking and evaluation frameworks (e.g., OpenAI Evals, Langsmith Evals, etc.)
Familiarity with feature stores, data versioning (e.g., Feast, DVC), and MLOps workflows
Familiarity with browser automation software such as PlayWright
Background in AI security, privacy, and compliance (PII handling, SOC2, GDPR considerations)
Background in A/B testing and online experimentation for AI features
Benefits
Health, dental, and vision insurance.
Retirement savings plan with company match.
Paid time off and holidays.
Professional development opportunities.
Performance-based bonus based on position.
Company
RealPage, Inc.
RealPage is the leading global provider of AI-enabled software platforms to the real estate industry.
5001-10000 employees
H1B Sponsorship
RealPage, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
2024 (19)
2023 (11)
2022 (11)
2021 (17)
2020 (7)
Funding
Current Stage
Public CompanyTotal Funding
$105.04MKey Investors
Camden PartnersApax Partners
2022-01-13Post Ipo Equity· $18.64M
2020-12-21Acquired
2011-09-15Post Ipo Equity· $6.87M
Leadership Team
Dirk Wakeham
Chief Executive Officer
Steve Winn
Chairman of the Board, President & CEO
Recent News
2026-01-11
2025-12-25
2025-12-25
Company data provided by crunchbase