AI Software Developer - Agentic Systems & Automation

Clive Collective

AI Software Developer - Agentic Systems & Automation

Phoenix, AZ
Full Time
Paid
  • Responsibilities

    Benefits:

    Competitive salary

    Flexible schedule

    Opportunity for advancement

    Paid time off

    AI Software Developer — Agentic Systems & Automation

    Position Summary

    Clive Collective is looking for a hands-on software developer who is already building with modern AI systems—not someone whose experience stops at using ChatGPT.

    This role will design, build, test, deploy, and improve software that solves real operating problems across our restaurant and hospitality businesses.

    Initial projects will include:

    Large-party and private-dining sales systems

    Lead qualification, routing, and follow-up

    CRM development

    Integrations among reservation, event, communication, and restaurant-management platforms

    Internal applications that reduce repetitive work and improve operating decisions

    You will work directly with the people using what you build. You will be expected to understand the operational problem, turn it into a dependable technical solution, deploy it responsibly, and measure whether it produces a real result.

    What You Will Do

    Build production-ready applications, automations, integrations, and AI-assisted workflows.

    Develop systems for private-dining and large-party lead capture, qualification, routing, follow-up, and CRM management.

    Connect third-party platforms using APIs, webhooks, authentication, databases, and event-driven workflows.

    Configure and extend coding agents and agent platforms, including tools, memory, permissions, orchestration, and human approval steps.

    Write and maintain Python and/or JavaScript/TypeScript applications.

    Review, debug, test, and improve AI-generated code rather than treating generated output as production-ready.

    Design for reliability through logging, monitoring, evaluations, retries, idempotency, duplicate prevention, and clear failure handling.

    Protect company, employee, and guest information through appropriate permissions and data-handling practices.

    Work directly with restaurant operators and company leadership to identify high-value problems and translate them into practical software.

    Document systems so they can be operated, supported, and improved over time.

    What We Are Looking For

    Demonstrable experience building and shipping working software.

    Deep, hands-on experience with coding agents such as Claude Code or Codex and agent platforms such as Hermes, OpenClaw, or comparable systems.

    Strong working knowledge of APIs, webhooks, authentication, databases, tool calling, MCP, agent orchestration, and human-in-the-loop approvals.

    Proficiency in Python, JavaScript/TypeScript, or both.

    Ability to inspect unfamiliar code, diagnose failures, test assumptions, and solve problems independently.

    Understanding of the difference between a successful demonstration and a dependable production system.

    Good judgment concerning permissions, sensitive information, external actions, and operational risk.

    Ability to communicate clearly with technical and nontechnical teammates.

    An ownership-oriented mindset—you care whether the software is adopted and produces measurable results.

    Especially Valuable Experience

    Building CRM, lead-management, sales-automation, or workflow-automation systems.

    Integrating restaurant, hospitality, reservation, event, messaging, email, or payment platforms.

    Cloud deployment, relational databases, queues, observability, automated testing, and CI/CD.

    Evaluating AI systems for accuracy, reliability, cost, privacy, and business impact.

    Building a substantial personal project, open-source contribution, or independent software product.

    A traditional computer-science background is welcome but not required. Your current job title matters less than what you can build, how you think, and whether you can make a system work reliably in the real world.

    Compensation

    Base salary: $70,000–$90,000 per year, based on demonstrated experience and technical capability.

    Potential product ownership: The right candidate may have an opportunity to participate in ownership of software products developed in this role. Any ownership arrangement would depend on contribution and performance and would be established separately in a written agreement. It is not guaranteed as part of base compensation.

    How to Apply

    Please submit a résumé and include:

    Something you have built—a live product, demonstration, portfolio, screenshots, or GitHub repository.

    The tools and technology stack you used, what you personally built, and one meaningful technical problem you had to solve.

    A recent agentic-AI tool, model, framework, or release you tested and what you learned from using it.

    A brief explanation of how you would turn a manual business workflow into dependable production software.

    Only share work you have permission to disclose. Do not submit passwords, credentials, private source code, or confidential employer or customer information.

    Clive Collective is an equal opportunity employer. Employment decisions are based on qualifications, merit, and business needs.

    Recommended R365 Screening Questions

    Provide a link to a project, product, portfolio, demonstration, or code sample that best represents your work. What did you personally build?

    Which languages do you use professionally or in substantial projects?

    Python

    JavaScript/TypeScript

    Both

    Other

    Which have you implemented directly?

    Third-party API integration

    OAuth or another authentication flow

    Webhooks or event-driven processing

    Relational database design

    Background jobs or queues

    AI tool calling or MCP

    Multi-agent or orchestrated workflows

    Human approval controls

    Automated tests and CI/CD

    Logging, monitoring, or production alerts

    Describe a difficult software failure or bug you diagnosed. How did you identify the root cause, and how did you verify the repair?

    Name a recent coding-agent or agentic-AI release you tested. What did it do well, where did it fail, and what did you learn?

    How would you prevent an automated workflow from sending the same customer message twice when it retries after a failure?

    Are you comfortable working directly with restaurant operators and translating operational problems into technical requirements?

    What are your salary expectations within the posted $70,000–$90,000 base-salary range?