Interested in this AI Agent Developer role at RealPage Inc?
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Overview:
The Solution Consultant (SC) is a key member of the strategic implementation team, specializing in deploying RealPage’s next\-generation AI agents, including Operations, Collections, Facilities, and Finance. This role focuses on guiding customers through successful implementation and adoption of AI\-driven solutions that optimize property management processes. The SC will collaborate with customers and internal teams to design scalable, flexible, and resilient solutions that meet business objectives and deliver measurable outcomes.
This role partners closely with customers and internal stakeholders to lead AI deployment efforts, implementing efficient AI\-driven workflows that enhance or replace manual processes. The Solution Consultant serves as a trusted advisor throughout the full deployment lifecycle, aligning AI capabilities to customer operational requirements.
Operating in a highly client\-facing capacity, this role requires strong knowledge of property management operations and the ability to guide customers through AI adoption, operational change, and intelligent workflow transformation.
Responsibilities:
- Lead implementation efforts for RealPage AI agents (Leasing, Resident, Operations, Facilities, Finance) across customer portfolios.
- Define customer business requirements and current operational workflows to align with AI capabilities.
- Develop change management strategies to ensure smooth adoption of AI solutions.
- Monitor adoption success and provide ongoing strategic guidance to maximize ROI.
- Serve as a trusted advisor for customers, connecting business needs with RealPage AI solutions.
- Consult and advise on Custom Packets to support leasing, renewal, certification, and recertification workflows.
Discovery \& Solution Design
- Assess customers’ current property management operations, including paper\-based workflows and manual processes.
- Define future\-state digital workflows that improve efficiency, compliance, and tenant experience.
- Connect customer business requirements to the functional capabilities of RealPage solutions.
Change Management \& Adoption
- Develop change management strategies to support the transition from paper\-driven and manual processes to online/digital/AI solutions.
- Guide customers through adoption best practices for AI Workforce solutions.
- Track progress against defined requirements and adoption milestones.
Customer Partnership
- Serve as a trusted advisor to property management customers throughout implementation and post–go\-live.
- Lead implementation discussions with Directors, Regional Managers, Operations Leaders, and Executives.
- Partner with Engagement Management and Delivery teams to contribute to project planning and execution.
Go\-Live \& Enablement
- Plan and support go\-live activities, including training related to AI Agents. (Leasing, Resident, Operations, Facilities, Finance).
- Ensure customers are operationally ready to execute AI Agent workflows digitally at activation.
Qualifications:
Required:
- Minimum 5 years of Multifamily Experience
- Expert level knowledge of a few RealPage products (OneSite, Facilities, RealPage Accounting, Knock, LOFT)
- Intermediate level proficiency in Consulting Processes
- Ability to engage and lead conversations with Directors and/or regional level contacts.
- Limited Travel
Preferred:
- Bachelor’s Degree or equivalent experience
KNOWLEDGE/SKILLS/ABILITIES
Required:
- + Excellent communication and presentation skills.
+ Strong analytical, research and problem\-solving skills
+ Ability to work independently, multi\-task, achieve tight deadlines and take ownership on multiple projects.
+ Comfort with emerging technologies and AI concepts.
Salary and Benefits *RealPage provides a competitive salary package along with a comprehensive benefit plan that includes:** *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.*
*Compensation may vary depending on your location, qualifications including job\-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance.* *Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees*.
Pay Range: USD $85,200\.00 \- USD $145,200\.00 /Yr.
Salary Context
This $85K-$145K range is in the lower quartile for AI Agent Developer roles in our dataset (median: $190K across 44 roles with salary data).
View full AI Agent Developer salary data →Role Details
About This Role
AI Agent Developers build autonomous systems that can reason, plan, and take actions. They design multi-step workflows, tool-use frameworks, and orchestration layers that let LLMs interact with external systems. This is the frontier of applied AI engineering.
Agent development is where the most interesting (and hardest) problems in applied AI live right now. Making an LLM answer a question is straightforward. Making it reliably execute a 15-step workflow that involves calling APIs, reading databases, making decisions, and recovering from errors is an unsolved problem. You're building systems that have to work despite the fact that the underlying model is non-deterministic.
Across the 4,133 AI roles we're tracking, AI Agent Developer positions make up 1% of the market. At RealPage Inc, this role fits into their broader AI and engineering organization.
AI Agent Developer is one of the newest and fastest-growing AI role categories. The market is early but accelerating as companies move beyond simple chatbots toward AI systems that can take real actions. Compensation is high because the skill set is rare and the business impact is potentially enormous.
What the Work Looks Like
A typical week includes: designing the action space and tool definitions for a new agent use case, debugging why the agent chose the wrong action sequence on a specific input, building evaluation frameworks that test agent reliability across hundreds of scenarios, optimizing the prompt chain for cost and latency, and implementing safety guardrails to prevent the agent from taking destructive actions. The work is equal parts engineering and empirical science.
AI Agent Developer is one of the newest and fastest-growing AI role categories. The market is early but accelerating as companies move beyond simple chatbots toward AI systems that can take real actions. Compensation is high because the skill set is rare and the business impact is potentially enormous.
Skills in Demand for This Role
Deep experience with LLM APIs and agent frameworks (LangChain, CrewAI, AutoGen). Strong understanding of prompt engineering, function calling, and error handling for non-deterministic systems. Python is standard. Experience with orchestration patterns, state management, and workflow engines adds significant value.
The best agent developers think like systems engineers. They design for failure modes, build observability into every step, and understand that agent reliability is the product. Expertise in evaluation methodology for non-deterministic systems is the differentiator. Can you measure whether your agent works 'well enough'? Can you find the edge cases where it breaks?
Look for roles that describe specific agent use cases, mention evaluation methodology, and talk about production deployment. Early-stage companies exploring agents can be exciting, but be prepared for ambiguity. The most valuable roles are at companies that have already shipped a v1 and need to make it reliable.
Compensation Benchmarks
AI Agent Developer roles pay a median of $241,950 based on 112 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $165,778. This role's midpoint ($115K) sits 52% below the category median. Disclosed range: $85K to $145K.
Across all AI roles, the market median is $200,700. Top-quartile compensation starts at $254,000. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Safety ($274,200) and AI Engineering Manager ($268,700). By seniority level: Entry: $97,760; Mid: $165,778; Senior: $227,400; Director: $250,000; VP: $250,000.
RealPage Inc AI Hiring
RealPage Inc has 2 open AI roles right now. They're hiring across AI/ML Engineer, AI Agent Developer. Based in Richardson, TX, US. Compensation range: $145K - $182K.
Location Context
Across all AI roles, 14% (583 positions) offer remote work, while 3,532 require on-site attendance. Top AI hiring metros: New York (2,760 roles, $211,000 median); San Francisco (2,258 roles, $253,000 median); Los Angeles (1,841 roles, $195,000 median).
Career Path
Common paths into AI Agent Developer roles include Software Engineer, LLM Engineer, Prompt Engineer.
From here, career progression typically leads toward AI Architect, Principal Engineer, Head of AI Engineering.
Build agents. That's the portfolio. Take an open-source agent framework, build something that completes a non-trivial multi-step task, evaluate it rigorously, and document what you learned about reliability, cost, and failure modes. The field is new enough that practical experience counts for more than credentials.
What to Expect in Interviews
Interviews focus on systems thinking and reliability engineering. Expect questions about agent architecture: how you'd design a multi-step workflow with error recovery, how you'd evaluate agent performance, and how you'd prevent agents from taking destructive actions. Coding exercises often involve building a simple agent with tool use and evaluating its behavior across different scenarios. Discussion of safety and guardrails is increasingly common.
When evaluating opportunities: Look for roles that describe specific agent use cases, mention evaluation methodology, and talk about production deployment. Early-stage companies exploring agents can be exciting, but be prepared for ambiguity. The most valuable roles are at companies that have already shipped a v1 and need to make it reliable.
AI Hiring Overview
The AI job market has 4,133 open positions tracked in our dataset. By seniority: 106 entry-level, 1,901 mid-level, 1,663 senior, and 463 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (583 positions). The remaining 3,532 roles require on-site or hybrid attendance.
The market median for AI roles is $200,700. Top-quartile compensation starts at $254,000. The 90th percentile reaches $307,500. Highest-paying categories: AI Safety ($274,200 median, 57 roles); AI Engineering Manager ($268,700 median, 42 roles); Research Engineer ($260,000 median, 442 roles).
AI Agent Developer is one of the newest and fastest-growing AI role categories. The market is early but accelerating as companies move beyond simple chatbots toward AI systems that can take real actions. Compensation is high because the skill set is rare and the business impact is potentially enormous.
The AI Job Market Today
The AI job market spans 4,133 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,865), Data Scientist (339), AI Software Engineer (313). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (106) are outnumbered by mid-level (1,901) and senior (1,663) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 463 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (583 positions), with 3,532 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $200,700. Top-quartile roles start at $254,000, and the 90th percentile reaches $307,500. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $274,200 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (2,128 postings), Aws (1,324 postings), Azure (1,003 postings), Rag (916 postings), Gcp (817 postings), Pytorch (655 postings), Prompt Engineering (639 postings), Claude (571 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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