Frederick Fox

AI-First Software Engineer

Position Overview

The AI-First Software Engineer is responsible for designing,
developing, testing, and deploying high-quality production
software across a multi-product technology platform. This role
embraces AI-assisted software development as a core part of the
engineering workflow, using tools such as Cursor, GitHub Copilot,
and Claude Code to accelerate development while maintaining
strong standards for code quality, security, testing, and
maintainability.

Working closely with fellow engineers and senior technology
leadership, including the Chief Technology Officer (CTO), the
AI-First Software Engineer will contribute to high-impact
initiatives, support the development of scalable software
solutions, and help establish best practices for AI-driven
engineering across the organization. The role primarily operates
within the .NET ecosystem while offering opportunities to
contribute to applications and services built on other technology
stacks.

The ideal candidate is a strong software engineer with a proven
track record of shipping production code, practical experience
using AI coding tools, sound engineering judgment, and the
ability to adapt quickly in a collaborative, fast-paced
environment.

Key Responsibilities

Software Design & Development

* Design, develop, test, and deploy reliable, scalable, and
maintainable software across multiple products and applications.
* Translate business requirements and technical specifications
into effective software solutions.
* Contribute to the full software development lifecycle,
including technical design, implementation, testing, deployment,
monitoring, and ongoing maintenance.
* Develop and maintain backend services, APIs, application
components, and integrations that support business-critical
functionality.
* Work primarily within the .NET ecosystem, including C# and
related technologies, while contributing to applications built on
other technology stacks as needed.
* Write clean, readable, reusable, and well-documented code that
follows established engineering standards and architectural
patterns.
* Identify opportunities to improve application performance,
reliability, scalability, and maintainability.
* Troubleshoot production issues, diagnose root causes, and
implement effective solutions.
* Participate in technical design discussions and contribute to
architectural decisions that support long-term product growth.
AI-First Software Engineering

* Integrate AI coding assistants, particularly Cursor, into daily
development workflows to improve productivity and accelerate
software delivery.
* Use AI tools throughout the development lifecycle, including
requirements analysis, code generation, refactoring, debugging,
test creation, documentation, and code review preparation.
* Apply sound engineering judgment to evaluate AI-generated code
for correctness, security, performance, maintainability, and
alignment with project requirements.
* Validate AI-generated solutions through appropriate testing,
debugging, code review, and technical analysis before merging or
deploying changes.
* Develop and refine effective prompts, reusable workflows, and
AI-assisted development practices that improve consistency and
engineering efficiency.
* Identify tasks that benefit from AI assistance while
recognizing when manual implementation, deeper investigation, or
alternative approaches are more appropriate.
* Stay current with emerging AI development tools, capabilities,
limitations, and best practices.
* Help establish standards for responsible and effective
AI-assisted software development across the engineering
organization.
Code Quality, Testing & Reliability

* Write unit tests, integration tests, and other automated tests
to validate application behavior and prevent regressions.
* Ensure AI-assisted code meets established quality, reliability,
and security requirements before release.
* Participate in peer code reviews, providing constructive
feedback and incorporating feedback from teammates.
* Identify and address technical debt, defects, and opportunities
to simplify existing code.
* Follow secure coding practices and help protect applications,
data, and services from potential vulnerabilities.
* Support continuous integration and continuous delivery
processes to enable reliable and repeatable software releases.
* Investigate production defects and implement corrective actions
to prevent recurring issues.
* Maintain appropriate technical documentation, test coverage,
and development standards.
Multi-Product Platform Development

* Contribute to software products and services that support a
broad technology platform, including property management,
accounting, customer relationship management, payments, tenant
screening, and related business functions.
* Adapt to different codebases, architectures, and development
environments as business priorities require.
* Build and maintain APIs, integrations, and shared components
that enable products to work together effectively.
* Understand existing system architecture and business logic
before introducing changes to established applications.
* Collaborate with engineers across product teams to deliver
consistent, reliable functionality.
* Identify opportunities to reuse components, improve
interoperability, and reduce unnecessary duplication across
products.
* Balance rapid delivery with the need to maintain stable,
secure, and scalable software.
Collaboration & Technical Communication

* Work closely with fellow engineers, product stakeholders, and
the CTO on high-priority technical initiatives.
* Participate in technical planning, design reviews, code
reviews, and team discussions.
* Communicate implementation approaches, technical risks,
dependencies, and progress clearly.
* Collaborate with cross-functional teams to clarify
requirements, evaluate trade-offs, and deliver solutions that
meet business needs.
* Share successful AI-assisted development techniques, prompts,
workflows, and lessons learned with the broader engineering
organization.
* Contribute to a culture of experimentation, knowledge sharing,
accountability, and continuous improvement.
* Provide technical guidance and support to teammates when
appropriate.
Engineering Productivity & Continuous Improvement

* Identify opportunities to streamline development workflows,
reduce repetitive tasks, and improve engineering productivity
through AI and automation.
* Experiment with AI-assisted approaches to software design,
debugging, testing, documentation, and maintenance.
* Evaluate the effectiveness of new tools and workflows based on
measurable improvements in delivery speed, quality, and
reliability.
* Help document and standardize effective development practices
so they can be adopted across teams.
* Recommend improvements to development tooling, code review
processes, testing strategies, and deployment workflows.
* Contribute to technical initiatives that improve developer
experience and support the organization's broader AI adoption
strategy.
Qualifications

Education & Professional Experience

* Bachelor's degree in Computer Science, Software Engineering,
Information Technology, or a related field preferred; equivalent
practical experience will also be considered.
* Proven experience developing and shipping production-quality
software in a professional engineering environment.
* [X+ years] of professional software development experience,
with the required level to be determined based on the role's
seniority.
* Demonstrated experience contributing to the full software
development lifecycle, from technical design through deployment
and maintenance.
* Experience working with existing production systems, debugging
complex issues, and delivering reliable software changes.
* A portfolio of meaningful engineering contributions
demonstrating technical proficiency, problem-solving ability, and
software delivery experience.
Technical Skills

* Strong proficiency in at least one modern programming language
and experience building production applications.
* Experience with C# and the .NET ecosystem is a significant
advantage, although strong engineers from other technology stacks
are encouraged to apply.
* Understanding of software architecture, object-oriented
programming, data structures, algorithms, and common design
patterns.
* Experience developing and consuming REST APIs, working with
databases, and integrating software systems.
* Familiarity with relational databases, SQL, data modeling, and
application performance optimization.
* Experience with Git or similar version control systems and
collaborative development workflows.
* Understanding of automated testing, code review, debugging, and
software quality practices.
* Familiarity with CI/CD pipelines, cloud infrastructure,
containerization, or modern deployment practices is an advantage.
* Ability to learn unfamiliar technologies and navigate multiple
codebases effectively.
AI Development Experience

* Hands-on experience using AI coding assistants such as Cursor,
GitHub Copilot, Claude Code, or comparable tools in real-world
software development.
* Demonstrated ability to use AI tools to accelerate
implementation, refactoring, debugging, testing, or
documentation.
* Strong judgment in reviewing AI-generated code and identifying
incorrect assumptions, logic errors, security concerns, and
potential performance issues.
* Ability to validate AI-generated output through testing, code
analysis, and independent technical reasoning.
* Interest in developing repeatable AI-assisted engineering
workflows and sharing effective practices with teammates.
* Willingness to adapt as AI development tools and engineering
practices continue to evolve.
Preferred Qualifications

* Experience in property technology (PropTech),
software-as-a-service (SaaS), payments, property management, or
other complex business software environments.
* Experience working across multiple products, services, or
technology stacks.
* Familiarity with cloud platforms such as Microsoft Azure or
Amazon Web Services (AWS).
* Experience with distributed systems, microservices,
event-driven architectures, or large-scale application
integrations.
* Experience building developer tools, internal automation, or
AI-assisted development workflows.
* Familiarity with application monitoring, observability,
performance profiling, and production support.
* Experience working closely with senior engineering leaders or
contributing to high-visibility technical initiatives.
Professional & Interpersonal Skills

* Strong analytical thinking and problem-solving skills, with the
ability to evaluate complex technical challenges.
* Excellent engineering judgment and attention to detail.
* Ability to balance development speed with software quality,
security, and long-term maintainability.
* Strong written and verbal communication skills.
* Collaborative mindset and willingness to share knowledge,
receive feedback, and contribute to team success.
* Comfortable working in a fast-paced environment with evolving
priorities and direct access to senior leadership.
* Self-directed approach to learning, experimentation, and
continuous professional development.
* Ability to manage competing priorities and deliver reliable
results within agreed timelines.

Software Engineer

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