| Job Description: |
The AI Systems Developer is a senior, multidisciplinary technology role responsible for the end-to-end ownership of enterprise-grade software solutions, from concept through production and long-term maintenance. This position blends the responsibilities of product manager, application architect, full-stack engineer, AI agent operator, DevOps engineer, security lead, quality assurance engineer, and release manager.
The AI Systems Developer interprets loosely defined business ideas or stakeholder needs and transforms them into scalable, secure, and maintainable software systems. Leveraging modern vibe coding platforms (e.g., Replit) and AI coding agents, the role emphasizes rapid ideation balanced with enterprise-level design discipline. The incumbent determines Minimum Viable Product (MVP) scope versus enterprise-ready functionality, defines user personas and workflows, and makes informed tradeoffs among speed, cost, quality, scalability, and sustainability.
As system architect and developer, the AI Systems Developer selects appropriate architectures, technology stacks, data models, and integration patterns while ensuring long-term resilience, maintainability, and compliance with university and industry standards. The role requires deep accountability for security, performance, documentation, deployment, and stakeholder communication, with a strong emphasis on responsible and effective use of AI-assisted development.
This position is open to current UF employees only.
Product Interpretation & System Design
- Translate high-level business concepts and stakeholder goals into clear technical requirements.
- Define MVP scope versus enterprise-level requirements.
- Identify user personas, workflows, and success criteria.
- Evaluate and balance tradeoffs between speed, cost, risk, scalability, and quality.
Application Architecture & Technical Leadership
- Design scalable, resilient, and maintainable system architectures.
- Select appropriate technology stacks, frameworks, databases, and APIs.
- Establish architectural standards and ensure consistency across AI- and human-generated code.
- Anticipate long-term operational, performance, and maintenance needs.
Full-Stack Software Development
- Implement frontend and backend features using modern development practices.
- Integrate databases, APIs, authentication services, and third-party platforms.
- Maintain clean, readable, testable, and maintainable codebases.
- Collaborate within shared development environments such as Replit.
AI Agent Orchestration & Automation
- Decompose work into AI-friendly tasks and workflows.
- Craft effective prompts and evaluate AI-generated code and artifacts.
- Correct, refactor, or override AI output to ensure correctness, security, and quality.
- Determine appropriate boundaries between automation and human judgment.
Security, Compliance & Quality Assurance
- Implement authentication, authorization, and role-based access controls.
- Secure APIs, data storage, and integrations using best practices.
- Apply encryption, validation, and secure coding standards.
- Conduct and maintain unit, integration, and end-to-end testing.
- Support applicable compliance requirements as needed.
Development Operations, Deployment & Environment Management
- Configure development, testing, and production environments.
- Design and maintain build, deployment, and release pipelines.
- Manage secrets, environment variables, and configuration securely.
- Ensure applications can be reliably deployed, monitored, and scaled.
Documentation, Communication & Release Management
- Produce and maintain technical and user documentation.
- Manage releases, versioning, and technical debt.
- Serve as liaison between Replit builders and the BPM team to ensure alignment of technical solutions with business processes.
- Clearly communicate progress, risks, and tradeoffs to stakeholders.
- Support long-term sustainability and knowledge transfer.
|
| Preferred: |
The ideal candidate will possess:
- A bachelor’s degree in Business Analytics, Data Management, Statistics, Data Science, or related field.
- Advanced skills in automation, integrations, or scripting tools (e.g., Replit, API integrations, low‑code platforms).
- Ability to translate organizational goals and stakeholder needs into practical, scalable solutions that support advancement operations.
- Experience thinking strategically about systems, processes, and workflows, with an understanding of how to balance immediate needs with long-term sustainability.
- Familiarity with modern digital tools, platforms, or systems used to support business operations, data management, or customer/constituent engagement.
- Demonstrated ability to analyze processes, identify inefficiencies, and recommend improvements that enhance effectiveness, quality, and user experience.
- Comfort working in collaborative, cross-functional environments and partnering with both technical and non-technical stakeholders.
- Strong problem-solving skills and the ability to evaluate tradeoffs involving timelines, resources, risk, and outcomes.
- Working knowledge of data privacy, security, and compliance considerations relevant to organizational operations.
- Experience supporting or contributing to system implementation, integration, or ongoing optimization efforts.
- Ability to document processes, communicate clearly, and support knowledge sharing across teams.
- Strong organizational and project coordination skills, including managing priorities, tracking progress, and supporting successful execution of initiatives.
- Adaptability and openness to emerging technologies, including automation and AI-enabled tools, to improve efficiency and effectiveness.
- Commitment to continuous improvement and contributing to sustainable, scalable operational practices.
|