Agent Engineer (Builder)

Omninet Capital LLC; Beverly Hills (CA); On-site; USD 100,000 - 145,000; Full time

Benefits offered by this job

Health/dental/vision

Job summary

Omninet Capital LLC Beverly Hills is seeking an Agent Engineer (Builder) to design and deploy AI agents and low-code automations that accelerate real estate operations. You will partner with department heads and property teams to convert business rules into scalable prompts, skills, and connectors.

This cross-functional role reports to IT with exposure to Acquisitions, Accounting, Property Management, HR, and Leasing.

Qualifications

• 2+ years in automation, business systems, or similar technical roles.
• Hands-on with LLMs and agentic tools to produce reliable results.
• Experience building skills, assistants, plugins, or connectors on AI platforms.
• Familiarity with APIs and basic automation concepts.
• Strong written and verbal communication to translate problems.
• Willingness to travel occasionally.

Responsibilities

• Interview stakeholders across Acquisitions, Accounting, Operations, HR, and Leasing to map workflows.
• Design, build, and deploy AI agents and automations to automate document review, data entry, and reporting.
• Integrate agents with Microsoft 365, SharePoint, Outlook, Yardi, Rippling using connectors and low-code tools.
• Package tools for non-technical users with short how-to guides.
• Monitor and iterate on deployed agents; track hours saved and error reduction.
• Document workflows and maintain a library of reusable components.
• Stay current on AI tooling and recommend new use cases.

Skills

Automation experience

LLMs & agentic tools

Communication skills

Travel willingness

Self-directed

Education

CS degree preferred

Tools

Claude/ChatGPT/Microsoft Copilot

Job description

Agent Engineer (Builder)

Omninet Capital LLC Beverly Hills, California, United States

About this position

About Omninet Capital LLC

Omninet Capital is a vertically integrated private real estate investment and property management firm headquartered in Beverly Hills, California. Founded and led by its principals, the firm owns and operates a diversified portfolio of multifamily and commercial assets across the United States, with approximately 300 professionals managing the platform end-to-end — from acquisitions, capital markets, and asset management to property operations, construction, accounting, legal, and technology.

Our edge is operational. Because we underwrite, close, and operate our own assets, every member of the acquisitions team works alongside the people ultimately responsible for executing the business plan. We combine institutional rigor with the speed and conviction of a principal investor, while increasingly leveraging AI and automation to accelerate underwriting, sharpen decision-making, and uncover opportunities others miss.

Role Summary

We're looking for a builder, not just a coder — someone who understands agentic AI well and is excited to apply it to real operational problems in a real estate investment and property management platform. You'll partner directly with department heads and property teams to understand repetitive, manual, or error-prone workflows, take the business rules and parameters from them, then design and ship AI agents and automations that eliminate them. You don't need to be an expert in leasing or accounting, and you don't need to build full code backends: most of the work is prompts, skills, and low-code automation. This is a highly cross-functional, high-visibility role reporting into IT, with exposure to Acquisitions, Accounting, Property Management, HR, and Leasing.

Key Responsibilities

At HQ (Beverly Hills):

• Interview stakeholders across Acquisitions, Accounting, Operations, HR, and Leasing to map current manual workflows
• Design, build, and deploy AI agents (skills, plugins, and connectors on our AI platforms, plus rules-based automations) that automate document review, data entry, reporting, underwriting support, and internal Q&A
• Integrate agents with existing systems (Microsoft 365, SharePoint, Outlook, Yardi, Rippling) using available connectors and low-code/no-code tools
• Package finished tools so non-technical users can run them easily, with short how-to guides

At the Property Level:

• Work with regional and on-site property management teams to identify high-friction tasks (maintenance ticketing, resident communications, lease abstraction, vendor invoicing, compliance tracking)
• Deploy automation and AI agents that reduce manual data entry and turnaround time across the ~8,500-unit multifamily portfolio and commercial assets
• Travel occasionally to properties when on-site requirements gathering or rollout support is needed; most discovery happens remotely over Teams

Ongoing:

• Monitor, maintain, and iterate on deployed agents; track efficiency gains (hours saved, error reduction, cost avoidance)
• Document workflows and maintain a library of reusable automation components
• Test each automation with its business owner before release, and keep a person in the loop for anything sent outside the company
• Work within IT's security model: least-privilege access, approved connectors, and service accounts
• Stay current on AI/agent tooling and recommend new use cases, including when a workflow is ready for more advanced, API-based agents

First Six Months

• Deliver several working automations for real teams, such as lease renewal letter drafting and broker deal intake
• Measure results (hours saved, turnaround time, error rates) and share what worked and what didn't
• Build a reusable library of skills, templates, and connectors that makes each new automation faster
• Use what we learn together to shape the program's next stage

Required Qualifications

• 2+ years of experience in automation, business systems, solutions engineering, or a similar technical role; a degree in Computer Science or a related field is a plus but not required
• Strong hands-on experience with LLMs and agentic tools, including writing prompts, skills, or instructions that produce consistent, reliable results
• Experience building skills, custom assistants, plugins, or connectors on AI platforms such as Claude, ChatGPT, Microsoft Copilot, or Grok
• Familiarity with APIs and basic automation concepts
• Strong written and verbal communication skills — able to translate business problems into technical solutions and explain technical solutions to non-technical stakeholders
• Self-directed, comfortable with ambiguity, and eager to work directly with business teams (not just other engineers)
• Good judgment about data sensitivity and when a person must review AI output
• Willingness to travel occasionally

Preferred Qualifications (not required)

• Experience with low-code/no-code workflow tools and the Microsoft 365 ecosystem
• Comfortable reading and adjusting code (Python, PowerShell, JSON) when needed, including code written with AI assistance
• Familiarity with Model Context Protocol (MCP) or API-based agent development
• Exposure to real estate, property management, or financial services
• Familiarity with Yardi or similar property management systems

Tools & Technologies

• Languages: Python, PowerShell, JSON (code is often AI-assisted)
• AI/Agents: AI assistant platforms (currently Claude; others such as OpenAI as approved): skills, plugins, connectors, agentic coding tools, prompt engineering
• Automation/Integration: Low-code/no-code workflow tools, Microsoft Graph, MCP connectors

Reporting & Location

• Reports to: Director of Information Technology
• Based at Omninet Capital HQ, 9420 Wilshire Blvd, Suite 400, Beverly Hills, CA 90212
• Occasional travel to portfolio properties as needed
• Base salary: $100,000–$145,000, based on experience and market benchmarking
• Standard Omninet employee benefits (health/dental/vision, 401(k), PTO)

Omninet Capital, LLC is an Equal Opportunity Employer and is committed to maintaining a workplace free from discrimination and harassment. We recruit, employ, train, compensate, and promote without regard to race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, veteran or military status, or any other status protected by applicable federal, state, or local laws.