Frontend AI UI Engineer

📍 Job Overview

Job Title: Frontend AI UI Engineer Company: Freshworks Location: San Mateo, California, United States Job Type: Full-time Category: Engineering - Frontend / AI User Interface Date Posted: August 20, 2025 Experience Level: Senior (7+ years implied, 10+ years AI experience) Remote Status: Hybrid

🚀 Role Summary

• Design and implement highly interactive, intuitive, and enterprise-grade UIs for Freshworks' Agentic AI Platform, focusing on agent builders, simulation tools, and dialog orchestration interfaces.
• Collaborate closely with AI UI Architects and UX Designers to translate complex AI workflows into seamless user experiences for agent development, testing, and deployment.
• Leverage expertise in modern frontend frameworks like React and TypeScript to build robust, scalable, and performant user interfaces for AI-driven SaaS products.
• Integrate frontend components with backend APIs, agent runtimes, and real-time event streams to enable dynamic visualization of agent reasoning and conversation flows.
• Ensure a high standard of user experience for both developers building AI agents and enterprise users deploying them across various channels.

📝 Enhancement Note: The role is explicitly for a "Frontend AI UI Engineer," indicating a specialized focus at the intersection of frontend development and artificial intelligence user interfaces. The seniority is implied by the 7+ years of required frontend experience and the complexity of building an "enterprise-grade" AI platform, suggesting a need for seasoned professionals. The mention of "Agentic AI Platform" and specific tools like "LangGraph visualization" and "LangSmith APIs" points towards a need for candidates familiar with modern AI development paradigms and tooling.

📈 Primary Responsibilities

• Develop interactive visual editors, including drag-and-drop interfaces, for orchestrating agent reasoning workflows using technologies like LangGraph visualization.
• Implement and maintain prompt management, versioning, and testing interfaces essential for efficient agent development cycles.
• Build real-time debugging tools that visualize agent reasoning traces, tool invocations, and complex dialog flows for effective troubleshooting.
• Integrate UI components with LangSmith APIs to facilitate agent observability, conduct evaluations, and manage regression testing within the platform.
• Create user simulation frameworks to test agent strategies against diverse personas and scenarios, enabling comprehensive performance analysis.
• Develop A/B testing dashboards for evaluating the effectiveness of different AI agent strategies and prompt variations.
• Build UIs for multi-turn conversation playback, agent state inspection, and scenario-driven outcome analysis to support iterative development.
• Design and implement dialog flow editors for creating multi-turn conversations with advanced features like branching, context retention, and hierarchical dialogs.
• Develop deployment interfaces to configure and manage AI assistants across various digital channels (chat, web, messaging) and voice/IVR systems.
• Collaborate with the Principal AI UI Architect to define and implement frontend design patterns, state management strategies, and modular UI frameworks.
• Integrate frontend applications with backend APIs, agent runtimes, and real-time event streams to ensure seamless data flow and functionality.
• Ensure the UI is scalable, optimized for performance, and adheres to secure multi-tenant design principles for enterprise-grade application.
• Partner with backend engineers to seamlessly integrate APIs and orchestration services into the frontend user interface.
• Work closely with UX designers to deliver high-quality, intuitive user interfaces that align with AI/agent workflows and user needs.
• Actively participate in code reviews, design discussions, and cross-functional planning sessions with architects and engineering teams.

📝 Enhancement Note: The responsibilities highlight a deep dive into the specifics of AI agent development tooling, emphasizing visual editors, debugging, simulation, and conversational flow design. The integration with specific AI observability tools like LangSmith and frameworks like LangGraph suggests a requirement for candidates who understand the practical application of these technologies in a UI context, beyond general frontend development.

🎓 Skills & Qualifications

Education:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience in frontend development with a focus on complex applications.

Experience:

• 7+ years of professional experience in frontend engineering, with a proven track record of building complex, enterprise-grade user interfaces.
• Demonstrated experience in developing visual workflow builders or graph-based editors, utilizing libraries such as d3.js, React Flow, or similar technologies.
• Proven ability to implement and manage real-time UI deployment for live agent monitoring and debugging scenarios.
• Familiarity with the concepts and requirements of agentic AI, including prompt engineering, agent orchestration, and reasoning trace visualization.
• Strong understanding of secure UI patterns, including Single Sign-On (SSO), OAuth2, Role-Based Access Control (RBAC), and multi-tenant UI isolation.
• Proficiency in frontend testing methodologies, performance profiling techniques, and adherence to accessibility best practices.

Required Skills:

• Frontend Engineering: Extensive experience building sophisticated user interfaces for web applications.
• React: Deep expertise in React.js, including modern features and best practices.
• TypeScript: Strong proficiency in TypeScript for building type-safe and maintainable frontend code.
• State Management: Experience with robust state management solutions (e.g., Redux, Zustand, Context API).
• Visual Workflow Builders/Graph Editors: Hands-on experience with libraries like d3.js, React Flow, or similar for creating interactive visual representations of processes.
• Real-Time UI Development: Experience in building UIs that display live data, updates, and debugging information in real-time.
• Agentic AI Concepts: Understanding of AI agents, their architecture, and user interaction requirements.
• Frontend Testing: Proficiency in unit, integration, and end-to-end testing frameworks (e.g., Jest, React Testing Library, Cypress).
• Performance Profiling: Ability to identify and resolve frontend performance bottlenecks.
• Accessibility Best Practices: Knowledge of WCAG guidelines and implementation for inclusive design.
• Secure UI Patterns: Understanding of security principles for web applications, including authentication and authorization.

Preferred Skills:

• Low-Code/No-Code Interfaces: Experience in developing interfaces that empower users with limited coding knowledge to build AI solutions.
• LangSmith & Observability: Familiarity with integrating AI observability tooling like LangSmith into UI workflows for enhanced debugging and monitoring.
• Conversational UI/UX Design: Exposure to designing user experiences for chat and voice assistants, understanding multi-turn interactions.
• Real-Time Collaborative Editing: Experience with frameworks like CRDTs, Yjs, or similar for enabling collaborative editing features in the UI.
• AI-SaaS Development: Prior experience in startup or early-stage product development within AI-driven Software as a Service (SaaS) environments.

📝 Enhancement Note: The "7+ years" requirement for frontend engineering is a solid indicator of a senior-level role. The emphasis on specific technologies like React, TypeScript, and particularly "visual workflow builders or graph-based editors" (mentioning d3.js and React Flow) are critical keywords. Familiarity with "agentic AI concepts" and "LangSmith" is a strong signal for candidates specializing in AI product development. The "10+" implied years of experience in AI-related fields is a key differentiator for this role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Visual Workflow Demonstrations: Showcase examples of interactive visual editors, graph-based UIs, or workflow builders you have designed and implemented, highlighting complexity and user interaction patterns.
• Agentic AI Integration: Projects demonstrating experience in building UIs that interact with or visualize AI models, agent reasoning, or conversational flows.
• Real-time Data Visualization: Examples of UIs that handle and display real-time data streams, debugging information, or live agent monitoring.
• Enterprise-Grade UI Development: Showcase projects that exhibit scalability, performance optimization, and adherence to enterprise security and multi-tenant design principles.
• Process Optimization Case Studies: Include case studies that detail how your UI contributions improved developer efficiency, debugging capabilities, or user adoption of complex systems.

Process Documentation:

• Workflow Design & Optimization: Examples of how you've documented and optimized complex user workflows within UI applications, particularly for developer tools or AI platforms.
• System Implementation & Integration: Showcase projects where you've integrated frontend UIs with backend APIs, real-time services, or third-party AI tools, demonstrating a clear understanding of system architecture.
• Measurement & Performance Analysis: Provide examples of how you've measured and analyzed UI performance, user engagement, and the impact of UI features on key metrics, such as developer productivity or agent deployment success.

📝 Enhancement Note: For a role focused on AI UI engineering, a portfolio needs to go beyond standard web development. It should explicitly showcase experience with visual editors, graph-based UIs, and real-time data handling relevant to AI agent development and debugging. Demonstrating an understanding of how UI design impacts AI developer productivity and agent deployment success will be key.

💵 Compensation & Benefits

Salary Range:

• The annual base salary range for this position is $238,000 - $342,000 USD.
• 📝 Enhancement Note: This salary range is for San Mateo, California. For other potential locations like Bellevue, WA, adjustments would be made based on local market data, but the provided range offers a strong benchmark for senior-level AI UI Engineers in high-cost-of-living tech hubs. The range indicates a highly experienced professional is sought, aligning with the 7+ years of required experience and the specialized nature of AI UI development.

Benefits:

• Comprehensive health coverage: Dental, Medical, and Vision Insurance.
• Financial well-being: Disability Insurance, Life Insurance, Equity + Employee Stock Purchase Plan (ESPP), Flexible Spending accounts.
• Work-life balance and wellness: Flexible Paid Time Off (PTO), Commuter Benefits, Wellness Benefits.
• Family support: Adoption Leave and Parental Leave benefits.

Working Hours:

• Standard full-time hours, typically 40 hours per week.
• 📝 Enhancement Note: While standard hours are mentioned, the hybrid nature and the demands of building cutting-edge AI platforms may imply a need for flexibility and potential for extended hours during critical development phases.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software (Customer Experience, Employee Experience, AI-driven SaaS) Company Size: Freshworks has over 4,500 employees globally, indicating a well-established, mid-to-large-sized tech company with significant resources and market presence. Founded: Freshworks was founded in 2010. This history suggests a company that has evolved with the SaaS landscape and is now aggressively investing in AI innovation.

Team Structure:

• The role reports to a Principal AI UI Architect, indicating a strong emphasis on design leadership and technical direction within the AI platform team.
• Collaboration is expected with backend engineers, UX designers, and potentially product managers, highlighting a cross-functional team environment typical in modern software development.
• The team is likely composed of experienced engineers and designers focused on building innovative AI solutions, fostering a culture of technical excellence and user-centric design.

Methodology:

• Emphasis on building "uncomplicated service software" that delivers exceptional experiences, suggesting a focus on user-friendliness and efficiency in design and development.
• The company's investment in an "Agentic AI Platform" points to a forward-thinking approach, embracing AI to enhance productivity and solve complex business problems.
• A "people-first approach to AI" suggests a focus on how AI can empower employees and improve business outcomes, rather than replacing human capabilities.

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

📝 Enhancement Note: Freshworks positions itself as a provider of "uncomplicated service software" with a "fresh vision for how the world works," aiming to simplify business operations through technology. Their focus on AI for customer and employee experience suggests a dynamic, innovation-driven environment. The company's growth from a startup to a global entity implies a culture that balances agility with established processes.

📈 Career & Growth Analysis

Operations Career Level: This position is for a Senior Frontend Engineer with a specialization in AI UI. It sits within the engineering function, contributing directly to the product development lifecycle of the Agentic AI Platform. The role demands significant technical leadership in UI architecture and implementation for AI-driven features.

Reporting Structure:

• The engineer will likely report to a Principal AI UI Architect or a Engineering Manager overseeing the AI platform team.
• This structure suggests a mentorship opportunity with senior technical leadership and exposure to high-level architectural decisions.

Operations Impact:

• The Frontend AI UI Engineer directly influences the usability, efficiency, and adoption of the Agentic AI Platform.
• By creating intuitive interfaces for agent building, testing, and deployment, the role has a significant impact on developer productivity and the speed at which businesses can leverage AI solutions.
• The success of the platform, and by extension Freshworks' AI strategy, is heavily dependent on the quality and effectiveness of the UIs developed.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI UI development, visual editors, and real-time systems, becoming a subject matter expert in this niche.
• Leadership Progression: Transition into roles like Lead Frontend Engineer, AI UI Architect, or Engineering Manager, leading teams and driving technical strategy.
• Product Ownership: Gain opportunities to influence product direction and roadmap for the AI platform based on user feedback and emerging AI technologies.
• Cross-Functional Exposure: Work closely with AI researchers, backend engineers, and product managers, broadening understanding of the full AI product lifecycle.
• Industry Trends: Stay at the forefront of AI and UI development trends, contributing to cutting-edge technology.

📝 Enhancement Note: The role is clearly senior, offering a path to technical leadership or management. The specific focus on AI UI development presents a growth opportunity in a rapidly evolving field, allowing for specialization and expertise in a high-demand area.

🌐 Work Environment

Office Type: The role is hybrid, requiring 3 days per week in the office (Tuesdays-Thursdays). This indicates a collaborative office environment designed to foster teamwork and innovation while allowing for remote flexibility. Office Location(s): San Mateo, CA, or Bellevue, WA. These are major tech hubs, suggesting access to talent and resources.

Workspace Context:

• Collaboration: The hybrid model encourages in-person collaboration with team members, facilitating brainstorming, design reviews, and problem-solving sessions.
• Tools & Technology: Expect access to modern development tools, AI platforms, and collaboration software necessary for building sophisticated AI UIs.
• Team Interaction: Opportunities to engage with AI UI Architects, UX Designers, and backend engineers, fostering a dynamic and knowledge-sharing environment.

Work Schedule:

• Standard full-time working hours (likely 40 hours/week), with flexibility expected within the hybrid model.
• 📝 Enhancement Note: The hybrid work arrangement (3 days in-office) is a critical detail for candidates assessing their preferred work style. The specific days (Tuesday-Thursday) suggest a structured approach to in-office collaboration.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and conduct an initial screening call to assess basic qualifications and cultural fit.
• Technical Interview(s): Expect in-depth technical interviews focusing on frontend engineering skills, React proficiency, TypeScript knowledge, and experience with visual editors or graph technologies. Behavioral questions assessing problem-solving, collaboration, and experience with AI concepts will also be included.
• Portfolio Review/Coding Challenge: A session dedicated to reviewing your portfolio, discussing your projects in detail, and potentially a live coding exercise or a take-home challenge focused on UI development for AI-related tasks.
• System Design: A discussion around designing scalable and performant UIs for complex AI platforms, including API integrations and real-time data handling.
• Final Round: Interviews with senior leadership or cross-functional team members to evaluate overall fit, strategic thinking, and potential impact.

Portfolio Review Tips:

• Highlight AI/Visual Editor Projects: Prioritize showcasing projects that demonstrate experience with visual workflow builders, graph editors, or UIs for AI/ML platforms.
• Detail Your Contributions: Clearly articulate your specific role, technical challenges faced, solutions implemented, and the impact of your work on each project.
• Showcase Real-time & Debugging: If possible, include examples of UIs that handle real-time data, debugging interfaces, or performance monitoring.
• Explain Technical Choices: Be prepared to discuss why you chose specific technologies, design patterns, and architectural approaches for your projects.
• Quantify Impact: Use metrics where possible to demonstrate the success of your UI implementations (e.g., improved developer efficiency, reduced debugging time, increased user adoption).

Challenge Preparation:

• React & TypeScript Proficiency: Brush up on advanced React concepts, hooks, state management, and TypeScript best practices.
• Visual Editor Concepts: Review common patterns and libraries used in building drag-and-drop interfaces and graph visualizations.
• AI UI Concepts: Familiarize yourself with current trends in AI development interfaces, prompt engineering UIs, and agent orchestration visualizations.
• Problem-Solving Scenarios: Prepare for coding challenges that test your ability to build responsive, efficient, and interactive UI components.
• System Design for AI: Think about how you would architect a complex UI for an AI platform, considering scalability, real-time updates, and integrations.

📝 Enhancement Note: Candidates should prepare a portfolio that strongly emphasizes visual editors, graph-based UIs, and experience with AI-related development tools. Be ready to discuss technical decisions and quantify the impact of your UI work.

🛠 Tools & Technology Stack

Primary Tools:

• React: The core JavaScript library for building user interfaces.
• TypeScript: For static typing, enhancing code quality and maintainability.
• Next.js: A popular React framework for building server-rendered and static websites, often used for enterprise applications.
• State Management Libraries: Potentially Redux, Zustand, Context API, or Recoil for managing complex application state.
• Visual Editor Libraries: d3.js, React Flow, or similar for creating interactive graph-based UIs and workflow builders.

Analytics & Reporting:

• LangSmith: For observability and debugging of AI agents.
• A/B Testing Dashboards: Tools for analyzing and comparing the performance of different AI strategies and prompts.
• Frontend Performance Monitoring Tools: For profiling and optimizing UI speed and responsiveness.

CRM & Automation:

• While not directly mentioned, understanding how frontend UIs integrate with backend CRM systems and automation workflows is beneficial.

📝 Enhancement Note: The explicit mention of React, TypeScript, Next.js, and especially "d3.js, React Flow" for visual editors, along with "LangSmith" for AI observability, are critical technology keywords. Candidates should be prepared to discuss their proficiency with these tools.

👥 Team Culture & Values

Operations Values:

• Innovation: A drive to build cutting-edge AI solutions and push the boundaries of user interface design in the AI space.
• User-Centricity: A commitment to creating intuitive, easy-to-use interfaces that solve real problems for developers and businesses.
• Collaboration: Working effectively within cross-functional teams to deliver high-quality products.
• Efficiency: Building performant, scalable, and robust UIs that contribute to overall system efficiency and developer productivity.
• Freshness: Embracing a "fresh vision" and an uncomplicated approach to software development.

Collaboration Style:

• Cross-functional Integration: Close collaboration with AI UI Architects, backend engineers, and UX designers is fundamental to the role.
• Feedback-Driven: A culture that encourages open feedback and iteration on designs and implementations to achieve optimal user experiences.
• Knowledge Sharing: Opportunities to share best practices, learn from peers, and contribute to the collective knowledge of the engineering team.

📝 Enhancement Note: The company's stated values of "fresh vision" and "uncomplicated service software" shape the team's approach. Expect a culture that values innovation, user-centricity, and collaborative problem-solving, particularly in the complex domain of AI.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of AI Workflows: Translating intricate AI agent logic, reasoning traces, and conversational flows into user-friendly visual interfaces.
• Real-time Data Handling: Managing and visualizing dynamic, real-time data streams for debugging and monitoring agent behavior effectively.
• Scalability and Performance: Ensuring the UI remains performant and scalable as the Agentic AI Platform grows and accommodates more complex agent deployments.
• Rapidly Evolving AI Landscape: Keeping pace with fast-changing AI technologies, tools, and best practices in agent development.
• Balancing Developer and End-User Needs: Designing interfaces that cater to both sophisticated AI developers and enterprise users deploying AI agents.

Learning & Development Opportunities:

• AI Specialization: Deepen expertise in AI UI patterns, agent orchestration frameworks, and AI observability tools.
• Advanced Frontend Techniques: Master cutting-edge React features, state management, and performance optimization strategies.
• Product Strategy: Gain exposure to product management and contribute to the strategic direction of the AI platform.
• Mentorship: Learn from senior engineers and architects, fostering career growth and technical skill development.
• Industry Exposure: Potentially attend AI and frontend development conferences to stay current with industry trends.

📝 Enhancement Note: The primary challenge lies in bridging the gap between complex AI functionalities and intuitive user interfaces. Growth opportunities are significant in specializing within the high-demand field of AI UI/UX.

💡 Interview Preparation

Strategy Questions:

• UI Architecture for AI: "How would you design a scalable, real-time UI for visualizing the reasoning process of an AI agent, considering multiple debugging modes and data streams?"
  • Preparation: Focus on component-based design, efficient state management, potential use of WebSockets or server-sent events, and strategies for data visualization libraries like d3.js or React Flow.
• Developer Experience: "Describe a time you improved a developer workflow through UI design. How would you apply this to building better tools for AI agent developers?"
  • Preparation: Prepare a case study from your portfolio that demonstrates UI improvements leading to enhanced productivity or ease of use. Emphasize empathy for developer needs.
• Problem-Solving: "Imagine a scenario where users are struggling to debug complex conversational flows. What UI elements and features would you propose to simplify this process?"
  • Preparation: Think about visual debugging tools, flow charting, step-by-step execution visualization, and clear error reporting mechanisms.

Company & Culture Questions:

• Freshworks' AI Vision: "Based on our company description, how do you see your role contributing to Freshworks' vision of building uncomplicated service software with AI?"
  • Preparation: Research Freshworks' products and mission. Articulate how your UI skills can make complex AI accessible and user-friendly.
• Team Collaboration: "How do you typically collaborate with UX designers and backend engineers to deliver a seamless user experience for complex features?"
  • Preparation: Be ready to discuss your collaborative process, communication style, and how you handle design disagreements or technical constraints.
• Impact Measurement: "How would you measure the success of the UI you build for our Agentic AI Platform?"
  • Preparation: Consider metrics like task completion rates, user satisfaction scores, reduction in debugging time, adoption rates of new features, and overall platform usability.

Portfolio Presentation Strategy:

• Storytelling: For each project, tell a story: the problem, your solution, the technical challenges, your specific contributions, and the outcome/impact.
• Live Demo/Screenshots: Use live demos or clear, annotated screenshots to showcase the interactivity and functionality of your UI work, especially for visual editors.
• Technical Deep Dive: Be prepared to discuss the architecture, technology choices, and specific implementation details of your most relevant projects.
• Focus on AI Relevance: Emphasize projects that demonstrate experience with AI concepts, visual workflows, or real-time data handling, even if the domain wasn't strictly AI.
• Conciseness: Present your most impactful work concisely, focusing on quality over quantity.

📝 Enhancement Note: Interview preparation should focus on showcasing practical experience with AI UI concepts, visual editors, and real-time data. Be ready to articulate your technical decisions and quantify the impact of your work, aligning it with Freshworks' mission.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided job link on SmartRecruiters.
• Resume Optimization: Tailor your resume to highlight your 7+ years of frontend engineering experience, specific skills in React, TypeScript, and visual editor development. Quantify achievements related to UI performance, user experience improvements, and any exposure to AI or complex system development.
• Portfolio Customization: Prepare or refine your portfolio to prominently feature projects demonstrating experience with visual workflow builders, graph-based editors, real-time UI development, and ideally, any work related to AI, ML, or developer tools. Annotate your contributions clearly.
• Interview Preparation: Practice answering behavioral questions related to collaboration, problem-solving, and technical challenges. Prepare to discuss your portfolio projects in detail, focusing on the "why" behind your technical decisions and the impact of your work. Be ready for technical assessments on React and TypeScript.
• Company Research: Familiarize yourself with Freshworks' mission, products (especially their AI offerings), and company culture. Understand their approach to "uncomplicated service software" and how AI fits into that vision.

⚠️ 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.