Frontend AI UI Engineer

📍 Job Overview

Job Title: Frontend AI UI Engineer Company: Freshworks Location: San Mateo, California, United States / Bellevue, Washington, United States Job Type: Full-time Category: Engineering / Product Development Date Posted: 2025-08-20T19:00:17.221 Experience Level: Senior (7+ years) Remote Status: Hybrid (3 days in-office)

🚀 Role Summary

• Design and implement highly interactive, intuitive, and enterprise-grade User Interfaces (UIs) for Freshworks' cutting-edge Agentic AI Platform.
• Collaborate closely with the Principal AI UI Architect to deliver sophisticated visual interfaces enabling users to build, test, debug, and deploy outcome-driven reasoning agents.
• Develop key components such as agent builders, simulation tools, dialog orchestration interfaces, and multi-channel assistant deployment UIs, focusing on a seamless developer and enterprise user experience.
• Drive innovation in user experience for AI-powered workflows, ensuring scalability, performance, and security for enterprise-level applications.

📝 Enhancement Note: This role is positioned for a senior-level engineer with a strong focus on UI/UX development within the rapidly evolving field of AI and agentic platforms. The emphasis on "enterprise-grade" and "outcome-driven reasoning agents" suggests a need for robust, scalable, and highly functional user interfaces that cater to sophisticated developer and business user needs.

📈 Primary Responsibilities

• Agentic UI Development:
  • Build interactive visual editors, including drag-and-drop interfaces, for agent orchestration and reasoning workflows, potentially leveraging libraries like LangGraph visualization.
  • Implement comprehensive interfaces for prompt management, version control, and rigorous testing of AI agents.
  • Develop real-time debugging tools to visualize agent reasoning traces, tool invocations, and complex dialog flows, aiding developers in troubleshooting.
  • Integrate UI components with backend APIs, specifically mentioning LangSmith APIs, for agent observability, evaluations, and regression testing.
• User Simulation & Testing Interfaces:
  • Implement user simulation frameworks designed to test agent strategies against diverse personas and scenarios, ensuring robust performance.
  • Create A/B testing dashboards to facilitate the evaluation of outcome-driven strategies across different agents and prompt configurations.
  • Develop UIs for multi-turn conversation playback, deep agent state inspection, and detailed scenario-driven outcome analysis.
• Dialog Orchestration & Multi-Channel Experience:
  • Design and build dialog flow editors that allow for the creation of multi-turn conversations with sophisticated branching logic, context retention, and hierarchical dialog structures.
  • Develop user-friendly deployment interfaces for configuring and launching AI assistants across various digital channels (e.g., web chat, messaging apps) and voice/IVR systems.
• Core UI Framework & Architecture:
  • Collaborate with the Principal AI UI Architect to define and implement robust frontend design patterns, efficient state management strategies, and modular UI frameworks.
  • Seamlessly integrate frontend components with backend APIs, agent runtimes, and real-time event streams to ensure data flow and responsiveness.
  • Ensure the UI architecture supports scalability, performance optimization, and secure multi-tenant design principles critical for enterprise adoption.
• Collaboration & Developer Experience:
  • Partner effectively with backend engineering teams to ensure seamless integration of APIs and orchestration services into the frontend.
  • Work closely with UX designers to translate high-fidelity designs into intuitive and high-quality user interfaces aligned with AI/agent workflows.
  • Actively participate in code reviews, architectural design discussions, and cross-functional planning sessions with architects and fellow engineers.

📝 Enhancement Note: The responsibilities highlight a significant need for experience in building complex, interactive UIs, particularly those involving visual editors, real-time debugging, and integration with AI-specific platforms like LangSmith. The role requires a blend of strong frontend development skills and an understanding of AI concepts and their UI/UX implications.

🎓 Skills & Qualifications

Education:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Experience:

• Minimum of 7 years of professional frontend engineering experience, with a proven track record of building complex, enterprise-grade user interfaces.
• Experience in designing and implementing visual workflow builders or graph-based editors is highly desirable, utilizing libraries such as d3.js or React Flow.
• Demonstrated experience with real-time UI deployment, particularly for live agent monitoring and debugging scenarios.
• Familiarity with agentic AI concepts and a solid understanding of their unique UI/UX requirements.
• Proficiency in frontend testing methodologies, performance profiling techniques, and adherence to web accessibility best practices.
• Strong understanding of secure UI patterns, including Single Sign-On (SSO)/OAuth2, Role-Based Access Control (RBAC), and multi-tenant UI isolation.

Required Skills:

• Frontend Frameworks: Strong expertise in React, including modern frameworks like Next.js.
• Languages: Proficient in TypeScript and JavaScript.
• State Management: Deep understanding and practical experience with state management libraries (e.g., Redux, Zustand, Context API).
• UI Libraries/Tools: Experience with visual workflow builders or graph-based editors (e.g., d3.js, React Flow) is a significant advantage for this role.
• Real-time Systems: Knowledge of implementing real-time UI features for monitoring and debugging.
• AI Concepts: Familiarity with agentic AI principles and their impact on UI/UX design.
• Testing & Performance: Proficiency in frontend testing frameworks (e.g., Jest, React Testing Library), performance profiling tools, and accessibility standards.
• Security: Understanding of secure coding practices and enterprise security patterns (SSO, OAuth2, RBAC).

Preferred Skills:

• Low-Code/No-Code: Experience building low-code/no-code interfaces, particularly for AI or developer platforms.
• AI Observability: Familiarity with integrating agent observability tooling, such as LangSmith, into UI workflows.
• Conversational AI: Exposure to conversational UI/UX design principles for chat and voice assistants.
• Collaboration Tools: Prior experience with real-time collaborative editing frameworks like CRDTs, Yjs, or similar technologies.
• Startup Environment: Experience in startup or early-stage product development within AI-driven SaaS companies.

📝 Enhancement Note: The required experience level of 7+ years, coupled with specific technical proficiencies in React, TypeScript, and visual editors, positions this as a senior individual contributor role. The preference for AI-specific tooling and low-code/no-code experience indicates a focus on building sophisticated developer tools within the AI ecosystem.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of complex, enterprise-grade UIs developed with React and TypeScript, demonstrating proficiency in modern frontend architecture.
• Examples of interactive visual editors, workflow builders, or graph-based interfaces, highlighting your ability to create intuitive user experiences for complex processes.
• Demonstrations of real-time features, debugging tools, or collaborative editing functionalities within projects, illustrating your capability to handle dynamic UIs.
• Projects that emphasize performance optimization, accessibility, and adherence to secure UI patterns.
• Evidence of integrating frontend applications with backend APIs and managing complex state.

Process Documentation:

• Ability to articulate the design and development process for complex UI features, including user journey mapping, wireframing, prototyping, and iterative development.
• Documentation of how you approached performance optimization, scalability, and security considerations in your past projects.
• Clear explanation of how you collaborated with UX designers, backend engineers, and product managers to deliver end-to-end UI solutions.
• Examples of how you implemented testing strategies (unit, integration, end-to-end) for frontend applications.

📝 Enhancement Note: A strong portfolio demonstrating hands-on experience with complex UI development, particularly involving visual editors and real-time features, will be critical. Candidates should be prepared to discuss their design choices, technical implementations, and the impact of their work on user experience and business outcomes.

💵 Compensation & Benefits

Salary Range:

• The annual base salary range for this position is $238,000 - $342,000 USD.
• 📝 Enhancement Note: This salary range is competitive for a senior-level Frontend Engineer role in the specified high-cost-of-living areas (San Mateo, CA and Bellevue, WA). The range reflects the significant experience (7+ years) and specialized skills required, particularly in AI UI development. Compensation will be determined based on factors such as location, candidate experience, job-related skills, and internal equity.

Benefits:

• Health & Wellness: Comprehensive medical, dental, and vision insurance plans.
• Financial: Equity grants, Employee Stock Purchase Plan (ESPP), flexible spending accounts.
• Time Off: Flexible Paid Time Off (PTO) to promote work-life balance.
• Commuter Benefits: Assistance with commuting costs.
• Wellness Programs: Support for employee well-being.
• Family Support: Generous adoption and parental leave benefits.

Working Hours:

• Standard full-time hours are expected, likely around 40 hours per week.
• 📝 Enhancement Note: While specific hours are not detailed, the hybrid nature of the role (3 days in-office) implies a structured work week. Flexibility may exist, but core working hours will likely align with team collaboration needs.

📝 Enhancement Note: The benefits package is robust, covering health, financial well-being, and work-life balance, which are attractive to senior engineering talent. The inclusion of equity and ESPP suggests a strong alignment with company growth and success.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software / SaaS (Customer Experience and Employee Experience Solutions) Company Size: Freshworks is a significant player with over 4,500 employees globally, indicating a well-established structure and resources. Founded: Freshworks was founded with a "fresh vision" for service software, emphasizing simplicity and exceptional user experiences. This ethos likely permeates its product development culture.

Team Structure:

• The Frontend AI UI Engineer will likely be part of a dedicated AI Platform or Product Engineering team.
• They will report to a team lead or engineering manager and work closely with a Principal AI UI Architect, UX Designers, and backend engineers.
• Collaboration is expected to be cross-functional, involving product management and potentially AI/ML specialists.

Methodology:

• Freshworks emphasizes building "uncomplicated service software" with a "people-first approach to AI."
• The company likely employs agile development methodologies, focusing on iterative delivery, collaboration, and continuous improvement.
• A data-driven approach to product development, user feedback, and performance analysis is expected.

Company Website: https://www.freshworks.com/

📝 Enhancement Note: Freshworks positions itself as a company that simplifies business software and enhances user experiences through AI. This role is central to delivering on that promise for their new Agentic AI Platform, suggesting a culture that values innovation, user-centric design, and technical excellence in AI-driven SaaS products.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Frontend Engineer role, requiring significant experience and technical depth. It sits within the engineering track, focusing on specialized UI development for a critical new platform. Reporting Structure: The role reports into an engineering management structure, working closely with a Principal AI UI Architect. This indicates a mentorship opportunity and exposure to high-level architectural decisions. Operations Impact: The work directly impacts the usability and effectiveness of Freshworks' Agentic AI Platform. A well-designed UI will be crucial for developer adoption, customer success, and the overall market reception of this new product offering, ultimately influencing revenue and customer satisfaction.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI UI development, agentic workflows, and modern frontend technologies.
• Architectural Influence: Contribute to the architectural direction of the Agentic AI Platform's frontend.
• Leadership Potential: Opportunity to mentor junior engineers, lead feature development, and potentially move into Tech Lead or Architect roles within AI product teams.
• Cross-functional Exposure: Gain experience working with AI/ML teams, product management, and UX design specialists.

📝 Enhancement Note: This role offers a significant opportunity for a senior engineer to make a substantial impact on a new, strategic product line. The focus on AI and agentic platforms provides a chance to gain highly sought-after expertise, setting a strong foundation for future career growth in the AI tech space.

🌐 Work Environment

Office Type: Hybrid role, requiring 3 days per week in the office. Office Location(s): San Mateo, CA, or Bellevue, WA.

• 📝 Enhancement Note: Both locations are in major tech hubs, offering access to talent and industry events. The hybrid model balances the flexibility of remote work with the benefits of in-person collaboration.

Workspace Context:

• Expect a collaborative office environment with opportunities for direct interaction with team members, including engineers, designers, and architects.
• Access to modern development tools and technologies will be provided to support efficient workflow and innovation.
• The team culture likely fosters open communication, knowledge sharing, and a focus on solving complex engineering challenges in the AI domain.

Work Schedule:

• Standard full-time work schedule, with a hybrid in-office requirement (Tuesday-Thursday).
• 📝 Enhancement Note: The hybrid schedule is designed to facilitate team cohesion and collaboration on core development days, while allowing for focused work and flexibility on other days.

📝 Enhancement Note: The hybrid setup suggests a company culture that values both focused individual work and the synergy that comes from in-person team interaction, particularly for complex problem-solving and innovation in a rapidly evolving field like AI.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter call to assess basic qualifications, interest, and cultural fit.
• Technical Interview(s): Likely involves coding challenges, system design discussions, and in-depth questions on React, TypeScript, state management, and UI architecture. Expect discussions around visual editors and real-time systems.
• Portfolio Review: A dedicated session to present and discuss past projects, focusing on your contributions, technical decisions, and the impact of your work. Be prepared to walk through specific examples of complex UIs you've built.
• Cross-functional/Team Interview: Discussion with potential peers (engineers, designers) to assess collaboration style and technical approach. May include a discussion with the Principal AI UI Architect.
• Hiring Manager Interview: Focus on overall experience, career aspirations, leadership potential, and alignment with Freshworks' culture and values.

Portfolio Review Tips:

• Curate Select Projects: Choose 2-3 projects that best showcase your skills in complex enterprise UIs, visual editors, and real-time features.
• Highlight Your Role: Clearly articulate your specific contributions, design decisions, and technical challenges overcome.
• Demonstrate Impact: Quantify the impact of your work whenever possible (e.g., improved user efficiency, reduced error rates, enhanced user satisfaction).
• Technical Depth: Be ready to discuss the architecture, technologies used, trade-offs considered, and problem-solving approaches.
• AI Relevance: If possible, include projects that touch upon AI, data visualization, or complex workflow management.

Challenge Preparation:

• Coding Challenges: Practice common frontend coding problems, focusing on algorithms, data structures, and JavaScript/TypeScript proficiency.
• System Design: Prepare for system design questions related to building scalable, performant, and maintainable frontend applications, potentially including aspects of real-time data handling or visual editor architecture.
• AI UI Concepts: Familiarize yourself with common UI patterns for AI tools, agent builders, prompt engineering interfaces, and debugging visualizations. Understand concepts like LangGraph and LangSmith if possible.

📝 Enhancement Note: The interview process will likely be rigorous, testing not only core frontend skills but also your ability to apply them to complex, AI-centric problems. A well-prepared portfolio presentation and thoughtful answers to system design and AI-specific questions will be key.

🛠 Tools & Technology Stack

Primary Tools:

• Frontend Framework: React (with Next.js experience highly valued).
• Language: TypeScript, JavaScript.
• State Management: Redux, Zustand, Context API, or similar.
• UI Libraries: Potentially d3.js, React Flow, or other graph/visualization libraries for visual editors.
• Testing: Jest, React Testing Library, Cypress, Playwright.
• Build Tools: Webpack, Vite.
• Version Control: Git.

Analytics & Reporting:

• Tools for performance monitoring and debugging (e.g., Chrome DevTools, Lighthouse, Sentry).
• Potentially analytics platforms for user behavior tracking within the application.

CRM & Automation:

• While not directly a CRM role, understanding how frontend integrates with backend services that might interface with CRMs or customer data platforms is beneficial.
• Experience with API integrations (REST, GraphQL).
• Familiarity with concepts like LangSmith for observability and testing of AI agents.

📝 Enhancement Note: Proficiency in React and TypeScript is paramount. Experience with visual editor libraries and AI observability tools like LangSmith will be a significant differentiator. A strong understanding of the entire frontend development lifecycle, from tooling to testing and deployment, is expected.

👥 Team Culture & Values

Operations Values:

• Innovation: A drive to build cutting-edge solutions in the AI space.
• User-Centricity: A commitment to creating exceptional experiences for developers and enterprise users.
• Collaboration: Working effectively across teams to achieve shared goals.
• Simplicity: Delivering powerful yet uncomplicated software solutions.
• Impact: Focusing on delivering real value and driving business outcomes through technology.

Collaboration Style:

• Open communication and knowledge sharing are likely encouraged.
• Expect a collaborative environment where feedback is valued and constructive debate on technical approaches is common.
• Cross-functional teamwork with Product Management, UX Design, and Backend Engineering is essential for success.

📝 Enhancement Note: Freshworks' stated values of "Fresh vision. Real impact. Come build it with us" suggest a culture that is forward-thinking, results-oriented, and values employee contribution. The "people-first" approach to AI implies a focus on empowering users through technology.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of AI UIs: Designing intuitive interfaces for complex AI workflows, agent builders, and debugging tools requires innovative problem-solving.
• Real-time Interaction: Implementing and maintaining performant real-time features for agent monitoring and debugging can be technically demanding.
• Rapidly Evolving Field: Staying current with the fast pace of AI development and integrating new concepts into the UI.
• Enterprise Scalability: Ensuring the UI is robust, scalable, and secure for a diverse range of enterprise clients.

Learning & Development Opportunities:

• AI Specialization: Gain deep expertise in building UIs for AI platforms and agentic workflows.
• Architectural Input: Influence the technical direction and best practices for frontend development within the AI platform.
• Industry Exposure: Work with advanced AI concepts and potentially contribute to open-source communities related to AI tooling.
• Mentorship: Learn from senior engineers and architects within a growing technology company.

📝 Enhancement Note: This role presents a significant opportunity to grow within the AI domain, tackling challenging technical problems at the forefront of the industry. The company's investment in this platform suggests ample opportunities for skill development and career advancement.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing a drag-and-drop interface for building AI agent workflows?"
  • Preparation: Think about component-based design, state management for complex graphs, user interaction patterns, and potential libraries like React Flow or d3.js. Consider how to represent agent states, tool calls, and decision points visually.
• "Describe a time you had to debug a complex real-time UI issue. What was your process?"
  • Preparation: Prepare a specific example. Focus on your systematic approach, tools used (browser dev tools, specific logging), hypothesis testing, and resolution. Emphasize understanding data flow and asynchronous operations.
• "How do you ensure a frontend application is scalable and performs well for enterprise users?"
  • Preparation: Discuss code splitting, lazy loading, efficient state management, optimized API calls, caching strategies, performance profiling, and considerations for multi-tenancy.
• "What are the key UI/UX considerations when building tools for AI developers?"
  • Preparation: Think about clarity of information, intuitive controls for complex logic, effective visualization of AI processes (reasoning traces, decision trees), feedback mechanisms, and error handling.
• "How would you integrate LangSmith APIs into a React application for agent observability?"
  • Preparation: Research LangSmith's capabilities and API structure. Consider how to fetch and display tracing data, evaluation results, and how to manage this data within the React state.
• "Tell me about a challenging UI component you built and how you approached it."
  • Preparation: Prepare a STAR method (Situation, Task, Action, Result) response focusing on a complex UI element, the technical challenges, your problem-solving approach, and the outcome.

Company & Culture Questions:

• "What interests you about Freshworks and our Agentic AI Platform?"
  • Preparation: Research Freshworks' mission, products, and recent developments in AI. Connect your skills and career goals to the company's vision.
• "How do you stay updated with the latest frontend technologies and AI trends?"
  • Preparation: Mention blogs, conferences, online courses, personal projects, and community involvement.
• "Describe your ideal team environment and how you contribute to a positive team culture."
  • Preparation: Focus on collaboration, communication, mutual respect, and a shared drive for success.

Portfolio Presentation Strategy:

• Storytelling: Frame your projects as narratives, explaining the problem, your solution, and the impact.
• Visuals: Use clear screenshots, interactive demos (if possible), or screen recordings to showcase your work.
• Technical Deep Dive: Be prepared to discuss the "why" behind your technical choices and the trade-offs you made.
• Conciseness: Present key information efficiently, respecting the allocated time.
• Engagement: Encourage questions and be ready to elaborate on specific aspects of your projects.

Challenge Preparation:

• Mock Interviews: Practice with peers or mentors to simulate the interview environment.
• Code Review Practice: Be ready to critically analyze code and provide constructive feedback.
• AI Use Cases: Think about how AI is being applied in various industries and how UIs support these applications.

📝 Enhancement Note: Thorough preparation across technical skills, system design, AI concepts, and the company's specific domain will be crucial. Demonstrating a clear understanding of the role's impact on the Agentic AI Platform and showcasing relevant portfolio pieces will significantly enhance your candidacy.

📌 Application Steps

To apply for this Frontend AI UI Engineer position:

• Navigate to the Freshworks careers page or the provided SmartRecruiters link.
• Submit your updated resume and any requested supplementary documents.
• 📝 Enhancement Note: Tailor your resume to highlight your experience with React, TypeScript, complex enterprise UIs, visual editors, and any exposure to AI/ML concepts or tools. Use keywords from the job description.
• 📝 Enhancement Note: Prepare your portfolio, ensuring it clearly demonstrates your most relevant projects. Be ready to articulate your process, technical decisions, and the impact of your work. Consider creating concise case studies for your top projects.
• 📝 Enhancement Note: Research Freshworks, its products, and its culture. Understand the company's mission and how the Agentic AI Platform fits into its strategy.
• 📝 Enhancement Note: Practice common frontend interview questions, system design scenarios, and prepare specific examples for behavioral questions, particularly those related to complex problem-solving and collaboration.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.