AI Developer IV

🔥 0 minutes ago

🌲 Oregon – Remote

🌲 Oregon – Remote

💵 $159.1k - $270.9k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

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RealPage, Inc.

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

📦 Logistics

📣 Marketing

💰 $18.6M Post-IPO Equity - RealPage on 2022-01

Consulting • Logistics • Marketing

RealPage, Inc. is a provider of property management software and services focused on the rental housing and broader real estate markets. The company offers cloud-based (SaaS) platforms and AI-driven tools for leasing, resident experience, revenue and financial management, utility and sustainability, vendor and spend management, smart building integrations, and analytics—serving multifamily, affordable, student, senior, single-family and commercial property operators. RealPage’s solutions are designed for property management companies, owners, investors and vendors to streamline operations, increase revenue, and improve the resident experience.

📋 Description

• Design and build internal AI solutions that improve engineering productivity and software delivery • Develop AI-powered developer workflows and assistants, agentic SDLC automation patterns, and internal tools for code analysis, documentation, testing, migration, and engineering support • Create reusable prompt, tool-calling, workflow, and reference implementation patterns • Build multi-step agentic workflows, tool-calling and orchestration patterns, RAG-based internal knowledge solutions, shared SDKs, templates, integration examples, and reusable components for copilots and agents • Partner with senior architects and engineering leaders to establish scalable patterns • Work directly with engineering teams, champions, and internal stakeholders to support AI adoption • Pair with teams on AI use cases and implementation patterns • Provide technical guidance on LLM, RAG, and agentic workflow design • Support proof-of-concept efforts and mature them into repeatable practices • Create playbooks, examples, templates, and documentation for internal engineering use • Participate in office hours, workshops, and AI enablement sessions • Help define and apply evaluation and governance practices for prompt and workflow evaluation, accuracy, relevance, usefulness, safety, responsible AI, PII handling, logging, observability, feedback loops, and human-in-the-loop review • Partner with engineering leadership, product teams, architecture, security, and other stakeholders to identify and deliver high-impact AI use cases • Translate engineering productivity needs into AI-enabled solutions and support roadmap-aligned internal AI initiatives • Contribute to adoption and capacity-improvement goals and help measure AI enablement impact • Communicate technical concepts clearly to engineering and non-engineering audiences • Design AI solutions with model selection and routing, prompt and context optimization, caching and retrieval efficiency, latency, reliability, build-vs-buy, and vendor lock-in considerations

🎯 Requirements

• Typically 6+ years of software engineering experience, with meaningful hands-on experience building production applications or internal platforms • 2+ years of applied AI, LLM, Generative AI, or agentic workflow experience • Strong programming experience in Python, TypeScript/JavaScript, or similar production languages • Experience designing and building cloud-native applications or services in Azure, GCP, or AWS • Practical experience with LLM-based application development, prompt engineering and prompt versioning, tool calling/function calling, RAG architectures, vector databases or semantic retrieval, and multi-step workflow or agent orchestration • Familiarity with CI/CD, Git-based development, automated testing, API design, observability, and logging • Experience using or enabling AI coding tools such as GitHub Copilot, Cursor, Windsurf, Codex, or similar tools • Ability to work directly with engineering teams to understand needs, prototype solutions, and drive adoption • Strong communication skills with the ability to explain AI concepts and implementation patterns clearly • Nice-to-have: Experience building internal developer platforms, engineering productivity tools, or enablement frameworks • Nice-to-have: Experience with agent frameworks or orchestration tools such as LangGraph, OpenAI Agents SDK, Google ADK, Semantic Kernel, CrewAI, or similar frameworks • Nice-to-have: Experience with evaluation frameworks such as OpenAI Evals, LangSmith Evals, RAGAS, or custom evaluation harnesses • Nice-to-have: Experience with browser automation or workflow automation tools such as Playwright • Nice-to-have: Experience with knowledge management, internal documentation systems, or enterprise search • Nice-to-have: Experience working in environments with privacy, compliance, or regulated-data considerations • Nice-to-have: Background in enterprise software, PropTech, fintech, or other complex business domains • Nice-to-have: Experience supporting AI adoption programs, engineering champions, office hours, or internal technical enablement

🏖️ 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 • Additional rewards, including annual bonus and sales incentives depending on the applicable plan, role, and individual performance