Overview
RealPage is leading the Generative AI transformation within the PropTech industry. Our Agentic AI team builds next-generation AI applications and enhances existing products with advanced Generative AI capabilities.
As a
Staff AI Engineer (Dev IV), you are a senior
individual contributor and hands-on technical leader who sets direction for how we build agentic AI at RealPage. You'll be writing code daily, owning the hardest problems, and personally designing and shipping the systems — while driving architecture, technical strategy, quality, and design reviews, and mentoring fellow developers. As a deep software engineer and systems architect who has mastered Generative AI, you raise the bar for the entire team.
Responsibilities
Technical Leadership & Architecture
- Own the architecture of agentic AI systems: orchestration, retrieval, evaluation, observability, and scaling.
- Drive system design for complex, multi-service, multi-agent platforms — making and justifying high-impact trade-offs.
- Define technical standards, patterns, and best practices for Python services, agentic workflows, and data pipelines.
- Lead build-vs-buy and framework/vendor decisions across LLM providers, vector stores, and agent frameworks.
- Anticipate scaling, cost, latency, reliability, and safety challenges before they become incidents.
Agentic AI at Scale
- Architect production agentic workflows with OpenAI Agents SDK (preferred) and durable orchestration via Temporal.
- Design agents where MCP, tool use, and RAG pipelines are central; own the retrieval, vector store, and embeddings strategy.
- Champion an evals-first approach — set the standard that agents are designed, built, and gated on measurable evals, with regression gating in CI.
- Use whichever LLM/multimodal provider best fits the problem at hand.
Hands-On Engineering
- Personally design and ship the hardest parts of the system in Python (primary) and TypeScript/JavaScript.
- Set the standard for clean, production-grade, well-tested, observable code.
- Strong with SQL for analytics powering retrieval, evaluation, and reporting.
Full-Stack & Platform
- Frontend: React. Backend: GraphQL, MCP, and REST APIs.
- Establish CI/CD, Docker, Kubernetes, and observability practices for the team.
Mentorship & Influence
- Mentor Dev II/III engineers; lead design reviews and resolve ambiguity across teams.
- Communicate technical strategy clearly to engineering leadership, product, and non-technical stakeholders.
Qualifications
- 8+ years in Software Engineering (or Data Science with deep engineering), with substantial hands-on Generative AI / agentic experience and shipped production systems.
- A strong systems thinker, designer, and architect who sets technical direction and drives solutions independently.
- Demonstrated technical leadership — setting architecture, driving decisions, and mentoring engineers.
- Languages: Python (expert), SQL (good for analytics), TypeScript/JavaScript.
- Agentic stack: OpenAI Agents SDK (preferred), Temporal workflows; LangSmith for building/eval (good to have).
- Backend / Frontend: GraphQL, MCP, REST APIs; React.
- Cloud: GCP (Kubernetes / GKE) and AWS (ECS, EC2); Docker and CI/CD.
- Observability: ELK, LangSmith, OpenAI tracing.
- Evals-first as a core engineering discipline.
Nice to Have
- RAG / ML knowledge and MLOps.
- Voice / realtime agents: VAD, latency optimization, STT/TTS.
- Prior experience as a tech lead, staff engineer, or architect.
