RealPage, Inc. · 3 weeks ago
Lead AI Engineer – Agentic & Generative AI (DFW Area)
US-TX-Richardson
Full-time
Onsite
Senior Level, Lead/Staff
$123K/yr - $209K/yr
8+ 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. They are seeking a Lead AI Engineer who will be responsible for driving the strategy, architecture, and delivery of Agentic and Generative AI solutions across their PropTech portfolio, while mentoring the AI engineering team and collaborating with stakeholders to identify high-impact AI opportunities.
Document ManagementPaymentsProperty ManagementPropTechSaaSSoftware
Responsibilities
Own the end-to-end architecture for AI products and platforms:
Model selection strategy (Google vs. OpenAI, small vs. large models)
Multi-agent and workflow orchestration patterns (responder/thinker pattern, tool calling, agentic frameworks)
Data and retrieval architecture (RAG, hybrid search, knowledge graphs, semantic caching)
Evaluate and introduce emerging technologies such as:
Next-generation LLMs and multimodal models
Real-time streaming infrastructures
Advanced agent frameworks, workflow engines (e.g., Agents SDK, Google ADK, LangGraph, etc.)
Design and lead the implementation of shared AI services and SDKs:
Reusable RAG pipelines and ingestion frameworks
Common UI components and design patterns for AI copilots and agents
Modular reusable coding practices for agentic back-end processes
Establish standards and best practices for:
Prompt design and versioning
Model and retrieval evaluation
Observability, logging, and incident response for AI systems
Provide hands-on technical leadership to AI Engineers, ML Engineers, and Data Scientists:
Guide architectural decisions and code quality
Conduct thorough design and code reviews
Mentor team members in LLMs, RAG, agentic design, and production AI practices
Help define and grow the AI engineering culture, focusing on innovation, quality, and responsible AI
Partner closely with Product, Design, and Business stakeholders to:
Identify high-value AI use cases aligned with company strategy and PropTech domain needs
Shape product roadmaps and define measurable success criteria for AI initiatives
Lead complex, cross-functional AI projects from concept to production, ensuring:
Clear requirement definitions and project plans
On-time delivery with high quality and reliability
Ongoing iteration based on user feedback and metrics
Define robust evaluation frameworks:
Offline and online metrics for relevance, safety, user satisfaction, and business impact
Human evaluation workflows for complex or sensitive tasks
Drive AI governance and responsible AI practices:
Content safety, bias and fairness considerations, PII handling
Compliance with internal policies and external regulations (e.g., GDPR-like requirements, data residency)
Collaborate with security, privacy, and legal teams to ensure compliant AI solutions
Lead performance and cost optimization for AI systems:
Model routing, distillation, and caching strategies
Right-sizing infrastructure and making build-vs-buy decisions
SLAs/SLOs for key AI services, including latency, uptime, and error budgets
Proactively identify and mitigate technical risks related to scalability, data quality, or vendor lock-in
Qualification
Required
Typically 8+ years of experience in Software Engineering, ML Engineering, or Data Science, with 3+ years hands-on in Applied AI/LLMs and at least 2+ years in a senior/lead role
Deep expertise in Python and TypeScript/JavaScript in production environments
Designing and operating distributed, cloud-native systems (GCP, Azure, or AWS)
Containerization and orchestration (Docker, Kubernetes) and modern CI/CD
Proven track record of architecting and shipping complex AI systems to production at scale
Leading multi-engineer initiatives and mentoring others
Making data-driven tradeoffs between speed, quality, and cost
Advanced experience with LLM-based application design (prompting, tool use, function calling, multi-agent workflows)
RAG architectures, vector databases, and retrieval optimization techniques
AI observability, monitoring, and evaluation frameworks
Excellent communication and stakeholder management skills
Ability to communicate complex AI concepts to executives and non-technical partners
Comfortable representing AI strategy and progress to leadership and cross-functional teams
Preferred
Experience with working with coding assistants like Windsurf, Cursor, Codex, etc
Multimodal and real-time agents (voice + text + UI control, streaming interactions)
Background in AI experiment tracking and evaluation frameworks (e.g., OpenAI Evals, Langsmith Evals, etc.)
Data platforms (data lakes/warehouses, feature stores, event streams like Kafka)
Browser automation software such as PlayWright
Designing AI products in domains with strong regulatory or privacy constraints
Experience building organizational AI strategies, setting standards, and helping define AI hiring and capability roadmaps
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
2025-12-25
2025-12-25
2025-12-24
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