Front End Engineer, Internal AI Ops

Front End Engineer, Internal Ai Ops

Since its inception in 2003, driven by visionary college students transforming online rent payment, Entrata has evolved into a global leader serving property owners, managers, and residents. Honored with prestigious awards like the Utah Business Fast 50, Silicon Slopes Hall of Fame - Software Company - 2022, Women Tech Council Shatter List, our comprehensive software suite spans rent payments, insurance, leasing, maintenance, marketing, and communication tools, reshaping property management worldwide.

Our 2200+ global team members embody intelligence and adaptability, engaging actively from top executives to part-time employees. With offices across Utah, Texas, India, Israel, and the Netherlands, Entrata blends startup innovation with established stability, evident in our transparent communication values and executive town halls. Our product isn't just desirable; it's industry essential. At Entrata, we passionately refine living experiences, uphold collective excellence, embrace boldness and resilience, and prioritize different perspectives, endeavoring to craft a better world to live in.

We develop cutting-edge AI solutions for the U.S. real estate market, helping property managers automate their property solutions. Our flagship products improve efficiency and deliver measurable results. We combine a startup's agility with a global corporation's stability.

As a Front-End Software Engineer on this team, you'll build intuitive, high-performance user experiences that bring our AI-powered automation to life. You'll translate complex workflows into elegant, responsive interfaces, integrate AI capabilities seamlessly into front-end applications, and collaborate with cross-functional partners to deliver products that transform manual processes into streamlined, agentic systems.

If you're passionate about building beautiful, functional user interfaces and curious about leveraging AI to improve efficiency, this role is for you.

Responsibilities

• Design, architect, and implement modern, responsive front-end applications that deliver AI-powered automation solutions.
• Build reusable, scalable UI components and front-end frameworks that enhance user experience and developer productivity.
• Develop and optimize AI-driven interfaces, including crafting prompts, dashboards, and visualizations that make decision-making faster and more intuitive.
• Collaborate with product, design, and backend engineers to define requirements and ensure seamless end-to-end user experiences.
• Write clean, maintainable, and well-tested code in modern front-end frameworks (e.g., React, Angular, Vue).
• Continuously research and experiment with emerging AI tools, frameworks, and UI technologies to deliver innovative front-end solutions.
• Monitor, test, and optimize UI performance to ensure reliability, scalability, and accessibility across devices.

Minimum Qualifications

• 3+ years of professional front-end software development experience.
• Proficiency in modern JavaScript/TypeScript and at least one front-end framework (React, Angular, Vue, or similar).
• Demonstrable experience leveraging AI-powered development tools (e.g., Cursor AI, GitHub Copilot, Tabnine) for enhanced code generation, refactoring, debugging, and overall development efficiency.
• Experience working with APIs and integrating back-end services into front-end applications.
• Familiarity with Generative AI tools and ability to design UI components that incorporate LLM-driven workflows.
• Strong understanding of responsive design, accessibility standards, and cross-browser compatibility.
• Excellent analytical, problem-solving, and communication skills.
• Knowledge of front-end engineering best practices, including testing, code reviews, and CI/CD pipelines.

Preferred Qualifications

• Experience with state management libraries (Redux, Zustand, MobX) or front-end performance optimization.
• Background in data visualization and building dashboards to surface AI insights.
• Familiarity with AI/ML APIs (OpenAI, Anthropic, Azure AI) and prompt engineering best practices for user-facing applications.
• Experience with cloud services (AWS, Azure, or GCP) and front-end deployment pipelines.
• Previous work on building internal tools or AI-driven user experiences.

$97,000 - $154,500 a year. This band covers the full salary range for the role. Your offer within this range will depend on factors like experience, skills, and internal equity. Level - P2