Senior Front-End Engineer

Company Overview

harpin AI is a high-growth, seed-stage startup on a mission to close the gap between what your data holds and what your business can achieve. We help enterprise teams unlock the revenue potential of their existing CRM, loyalty, and support systems — without replacing a thing.

Built by a proven team with decades of experience in CX, marketing, and data systems, harpin AI was born from a clear market truth: businesses are sitting on massive amounts of valuable data — but most of it goes unused. Fragmented tools, messy data, and dashboards that don’t drive action create a wall between insights and outcomes.

We created harpin AI to tear that wall down.

Instead of another dashboard or CDP, we built a set of modular, AI-powered tools that activate the systems you already use — fueling faster decisions, smarter customer experiences, and measurable ROI. Whether it’s identifying at-risk customers, surfacing churn signals, or launching campaigns with validated segments, harpin AI turns data from a liability into a competitive advantage.

Our customers span retail, hospitality, and gaming, and use harpin AI to drive growth in days — not quarters. If you’re excited about joining a sharp, decisive, purpose-driven team that’s redefining what data can do, we’d love to meet you.

Position Overview

As a Senior Front-End Engineer at harpin AI, you will play a key role in building elegant, scalable, and high-performing user experiences across our enterprise AI platform. You will partner closely with product, design, backend, and AI engineering teams to deliver modern web applications that are intuitive for users and robust under real-world production demands.

This role requires deep expertise in modern front-end development, with React 19 and Tailwind CSS as core technologies. You will help define front-end architecture, component standards, state management patterns, and performance best practices across our products and shared platform experiences.

You bring an AI-native engineering mindset and actively use modern AI-assisted development workflows to accelerate implementation, improve code quality, strengthen testing, and enhance developer productivity. You are comfortable working in environments where AI-powered features, agentic workflows, and rapid iteration are central to the product strategy, and you understand how to build front-end experiences that safely and effectively expose those capabilities to enterprise users.

Key Responsibilities

Front-End Architecture & Application Development

• Build and maintain modern, scalable front-end applications using React 19, Tailwind CSS, TypeScript, and contemporary component-driven development practices.
• Translate product requirements and design concepts into polished, responsive, and accessible user experiences.
• Help define and evolve front-end architecture, reusable component patterns, styling conventions, and application structure across multiple products.
• Partner with backend and AI engineering teams to integrate APIs, streaming interfaces, real-time updates, and AI-powered workflows into intuitive user experiences.
• Contribute to shared design systems and UI libraries that improve consistency, speed of delivery, and maintainability across the platform.

User Experience, Performance & Quality

• Own front-end performance optimization, including rendering efficiency, bundle optimization, responsiveness, and perceived user experience.
• Ensure applications meet high standards for accessibility, cross-browser compatibility, responsiveness, and reliability.
• Implement robust error handling, loading states, edge-case handling, and production-safe UI patterns for complex enterprise workflows.
• Build interfaces that clearly communicate AI-driven outputs, confidence, citations, workflow state, and system feedback in trustworthy ways.
• Collaborate with product and design partners to improve usability, interaction quality, and end-user adoption.

AI-Native Development & Modern Engineering Practices

• Use AI coding assistants and prompt-driven development workflows as a core part of daily engineering work to accelerate implementation, refactoring, debugging, and documentation.
• Apply AI-assisted workflows to improve unit, integration, and end-to-end test coverage and to reduce manual development toil.
• Contribute to front-end experiences for AI-powered and agentic product capabilities, including multi-step workflows, conversational interfaces, intelligent recommendations, and context-aware UI behavior.
• Help evaluate and adopt modern engineering tools that improve developer productivity, code quality, and delivery speed.
• Partner with engineering leadership to establish practical standards for effective and responsible use of AI-assisted development across the front-end team.

Testing, Reliability & Observability

• Write high-quality, maintainable code supported by strong automated testing practices across component, integration, and end-to-end layers.
• Help establish quality gates, front-end testing standards, and CI/CD expectations for production-ready releases.
• Instrument front-end telemetry, logging, and observability to support debugging, performance analysis, and user workflow monitoring.
• Collaborate in diagnosing production issues, reproducing defects, and implementing durable fixes that improve product reliability.
• Support release quality through regression testing, feature validation, and close partnership with QA and platform engineering teams.

Cross-Functional Collaboration

• Work closely with product managers, designers, backend engineers, and AI engineers to shape user-facing solutions from concept through production.
• Participate in technical design discussions, code reviews, estimation, and architecture planning.
• Mentor other engineers through code review, collaboration, and sharing of front-end best practices.
• Contribute to en