Sr. UI Engineer, AI

LogicMonitor
Full-timeโ€ขpune, India

๐Ÿ“ Job Overview

Job Title: Sr. UI Engineer, AI

Company: LogicMonitor

Location: Pune, India

Job Type: Full-time

Category: Engineering / Frontend Development

Date Posted: 2026-02-07

Experience Level: 5-10 Years

Remote Status: On-site

๐Ÿš€ Role Summary

  • Design, develop, and deploy cutting-edge, AI-powered user interfaces for LogicMonitor's next-generation observability platform, focusing on intuitive user experiences for AI assistance and analytics.

  • Spearhead the creation of intelligent, responsive, and data-driven interfaces that integrate seamlessly with backend AI systems, including Edwin AI, AIOps, and GenAI copilots.

  • Own the user interaction model for advanced features such as chat-driven troubleshooting, intelligent dashboards, and dynamic visualizations that surface deep operational intelligence.

  • Collaborate closely with data science, AI, and backend engineering teams to translate complex AI models and real-time observability data into user-friendly frontend components.

๐Ÿ“ Enhancement Note: This role is explicitly focused on UI Engineering within an AI context, specifically for an observability platform. The emphasis is on building interfaces that leverage AI for insights and troubleshooting, rather than AI development itself. The target candidate will bridge the gap between sophisticated AI capabilities and user-friendly frontend experiences.

๐Ÿ“ˆ Primary Responsibilities

  • Architect, build, and deliver robust AI-powered interfaces for Edwin AI and AIOps workflows, including but not limited to chat consoles, anomaly correlation explorers, and root-cause investigation views.

  • Leverage the latest Generative AI (GenAI) based UI offerings, such as Lovable, to rapidly prototype and productionize innovative UI features.

  • Enable seamless real-time interactions between critical observability data (metrics, logs, traces) and the AI reasoning engine, ensuring data flows efficiently to the frontend.

  • Develop and maintain high-quality frontend code using React and TypeScript, actively contributing to the strategic migration of legacy ReScript code to modern standards.

  • Craft scalable, accessible, and visually appealing interfaces utilizing modern styling frameworks like Tailwind CSS v4 and Material UI.

  • Manage complex UI state effectively using Zustand and Tanstack Query/Forms/Router for sophisticated data orchestration and user interaction management.

  • Collaborate cross-functionally with data science and AI teams to visualize and communicate anomaly explanations, event correlations, and root-cause predictions through intuitive UI elements.

  • Champion a design-driven frontend culture, prioritizing performance, accessibility, usability, and maintainability in all UI development efforts.

๐Ÿ“ Enhancement Note: The responsibilities highlight a blend of core frontend development with a strong focus on AI integration and observability data visualization. The migration from ReScript to TypeScript is a significant technical initiative that candidates should be prepared to contribute to.

๐ŸŽ“ Skills & Qualifications

Education:

Experience:

  • Minimum of 4 years of professional experience in modern front-end engineering.

  • Proven track record of successfully shipping real-time UIs, such as chat applications, streaming dashboards, or complex analytics interfaces.

Required Skills:

  • React: Deep expertise in building complex, component-based user interfaces with React.

  • TypeScript: Strong proficiency in TypeScript for developing scalable and maintainable frontend applications.

  • Real-Time UI Development: Demonstrated ability to implement and manage UIs that handle real-time data streams, chat functionalities, or dynamic updates.

  • UI/UX Design Principles: Understanding of user-centered design, accessibility standards (WCAG), and performance optimization for frontend applications.

  • State Management: Proficiency with modern state management libraries such as Zustand.

  • Data Fetching & Caching: Experience with libraries like Tanstack Query (React Query) for efficient data fetching, caching, and state synchronization.

  • Styling Frameworks: Experience with utility-first CSS frameworks like Tailwind CSS and component libraries like Material UI.

  • CI/CD & DevOps: Familiarity with Continuous Integration/Continuous Deployment pipelines and core DevOps tooling (e.g., Docker, Travis CI, Bash scripting).

Preferred Skills:

  • ReScript/OCaml: Experience with ReScript or a strong understanding of functional programming concepts and their application in frontend development.

  • GenAI UI Integration: Familiarity with integrating Generative AI models or frameworks (e.g., Lovable) into frontend applications.

  • Observability Concepts: Basic understanding of IT infrastructure observability, metrics, logs, and traces.

  • API Integration: Experience consuming and interacting with complex RESTful or GraphQL APIs.

  • Testing Frameworks: Proficiency with frontend testing frameworks (e.g., Jest, React Testing Library).

๐Ÿ“ Enhancement Note: The emphasis on ReScript and functional programming suggests a need for candidates who can adapt to or appreciate different programming paradigms. The requirement for 4+ years of experience points towards a mid-to-senior level role where independent contribution and technical leadership are expected.

๐Ÿ“Š Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Demonstrated UI Projects: Showcase at least 2-3 significant UI projects that highlight your ability to build complex, interactive, and data-driven interfaces.

  • Real-Time Data Handling: Include examples that clearly demonstrate your experience with real-time data streams, dynamic updates, or interactive visualizations.

  • AI/ML Integration (If applicable): If you have projects involving AI or ML integrations in the UI, these will be highly valued.

  • Code Quality & Structure: Portfolio should reflect clean, well-structured, and maintainable code, preferably with links to GitHub repositories or live demos.

  • Performance & Accessibility: Examples that implicitly or explicitly showcase attention to frontend performance and accessibility standards.

Process Documentation:

  • Candidates may be asked to walk through the development process of a project in their portfolio, explaining their design choices, problem-solving approaches, and collaboration methods.

  • Be prepared to discuss how you approach state management, data fetching, and error handling in complex UIs.

  • Demonstrate an understanding of how frontend components interact with backend APIs and data sources.

๐Ÿ“ Enhancement Note: For a Senior UI Engineer role, a portfolio is crucial. It should not just show finished products but also the candidate's thought process, technical decision-making, and ability to handle complexity. For this specific role, highlighting projects involving real-time data or complex data visualization will be particularly impactful.

๐Ÿ’ต Compensation & Benefits

Salary Range:

Benefits:

  • Competitive salary and performance-based bonuses.

  • Comprehensive health insurance coverage for employees and dependents.

  • Retirement savings plans (e.g., Provident Fund).

  • Paid time off, including vacation, sick leave, and public holidays.

  • Opportunities for professional development, training, and certifications.

  • Access to modern technology and tools for development.

  • Employee assistance programs and wellness initiatives.

Working Hours:

  • Standard full-time working hours, typically 40 hours per week. The specific schedule may offer some flexibility to accommodate team collaboration and project deadlines, aligning with Indian Standard Time (IST).

๐Ÿ“ Enhancement Note: Salary is estimated based on industry standards for senior engineering roles in Pune, India. The exact compensation will be determined by the hiring team based on candidate qualifications and internal equity. The benefits listed are typical for a full-time engineering role at a tech company in India.

๐ŸŽฏ Team & Company Context

๐Ÿข Company Culture

Industry: Technology / Software / IT Infrastructure Monitoring & Observability. LogicMonitor operates in the rapidly growing AI-first hybrid observability market.

Company Size: LogicMonitor is a significant player in its market, with a growing global presence. The company size suggests a stable yet dynamic environment with opportunities for impact and growth, without the bureaucracy of extremely large corporations.

Founded: LogicMonitor was founded in 2008, indicating a mature company with established processes and a solid market position, yet still agile enough to innovate in areas like AI.

Team Structure:

  • The UI Engineering team is part of a larger engineering organization, likely collaborating closely with Product Management, UX/UI Design, Data Science, AI/ML Engineering, and Backend Engineering teams.

  • Reporting structure will likely be to an Engineering Manager or Director of Engineering, with direct collaboration with product owners and architects.

Methodology:

  • LogicMonitor emphasizes an AI-first approach, integrating AI and machine learning throughout its platform.

  • The company values a "design-driven frontend culture" that prioritizes performance, accessibility, and usability.

  • Agile development methodologies are likely employed, with a focus on iterative development, continuous feedback, and rapid prototyping.

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

๐Ÿ“ Enhancement Note: LogicMonitor's focus on AI and observability is a key differentiator. The company culture is described as valuing trust, customer obsession, agility, and continuous improvement, which translates to a fast-paced, collaborative, and results-oriented environment.

๐Ÿ“ˆ Career & Growth Analysis

Operations Career Level: This position is for a Senior UI Engineer, indicating a mid-to-senior level role. The responsibilities suggest significant autonomy, ownership of critical features, and the expectation to mentor junior engineers. This role is focused on building advanced user experiences for AI-driven products.

Reporting Structure: The Senior UI Engineer will likely report to an Engineering Manager or Director of Engineering. They will work closely with Product Managers, UX Designers, and other engineering teams (AI/ML, Backend).

Operations Impact: The role directly impacts the user experience of LogicMonitor's AI-powered observability platform. By creating intuitive and effective interfaces for AI insights, anomaly detection, and troubleshooting, this engineer will enhance customer satisfaction, drive product adoption, and contribute to the company's competitive advantage in the AI-driven IT monitoring space.

Growth Opportunities:

  • Technical Specialization: Deepen expertise in AI-driven UI development, advanced React patterns, and modern frontend architectures.

  • Leadership: Potential to move into a Tech Lead or Architect role, guiding technical direction for UI initiatives and mentoring junior engineers.

  • Cross-Functional Growth: Opportunity to gain deeper insights into AI/ML, data science, and backend systems through close collaboration.

  • Impact on Core Product: Contribute to the evolution of LogicMonitor's core AI features, directly influencing product strategy and customer experience.

๐Ÿ“ Enhancement Note: As a Senior role, this position offers significant opportunities for technical growth and influence within the company's AI product roadmap. The "AI" in the title signifies a strategic focus for the company and this role.

๐ŸŒ Work Environment

Office Type: The role is based in Pune, India, within a "Center of Energy" which serves as a hub for productivity, collaboration, creativity, and connection. This suggests a modern office space designed to foster innovation and teamwork.

Office Location(s): Pune, India. This major tech center location provides access to a strong talent pool and a vibrant tech ecosystem.

Workspace Context:

  • The environment is designed to be collaborative, encouraging interaction with colleagues across different teams.

  • Access to modern development tools and technologies is a given.

  • Opportunities for direct interaction with AI/ML teams and product stakeholders will be frequent, facilitating a shared understanding of product goals.

Work Schedule: The role is full-time, with standard working hours that may offer some flexibility. The emphasis on collaboration suggests that aligning with team members' schedules for meetings and pair programming will be important.

๐Ÿ“ Enhancement Note: The "Center of Energy" description implies an office environment designed for collaboration and innovation, rather than a traditional cubicle farm. It suggests a dynamic and engaging workspace.

๐Ÿ“„ Application & Portfolio Review Process

Interview Process:

  • Initial Screening: A recruiter or hiring manager will review your application and resume to assess basic qualifications and experience.

  • Technical Interview(s): Expect 1-2 rounds of technical interviews. These may include:

    • Coding Challenge: Live coding exercises focusing on React, TypeScript, state management, and problem-solving. Be prepared for algorithmic thinking and efficient code implementation.
    • System Design/Architecture: Discussion of how you would approach building complex UI features, managing state, and integrating with backend services.
    • Portfolio Deep Dive: A detailed walkthrough of your selected portfolio projects, discussing your role, technical decisions, challenges, and outcomes.
  • Behavioral Interview: Questions assessing your soft skills, teamwork, problem-solving approach, and cultural fit with LogicMonitor's values.

  • Hiring Manager Interview: A final discussion with the hiring manager to assess overall fit, career aspirations, and address any remaining questions.

Portfolio Review Tips:

  • Curate Selectively: Choose 3-4 of your strongest projects that best align with the job description, particularly those showcasing real-time UIs, complex state management, or AI/data visualization.

  • Focus on Impact: For each project, clearly articulate the problem you solved, your specific contributions, the technologies used, and the positive outcomes or lessons learned. Quantify impact where possible (e.g., performance improvements, user engagement metrics).

  • Code Clarity: Ensure your linked code repositories are clean, well-documented, and demonstrate good coding practices.

  • Storytelling: Be prepared to walk through your projects, explaining your thought process, design decisions, and how you overcame technical challenges.

Challenge Preparation:

  • Practice React & TypeScript: Brush up on core React concepts (hooks, performance optimization, context API) and advanced TypeScript features.

  • State Management Scenarios: Practice scenarios involving complex state management with Zustand and Tanstack Query.

  • Problem-Solving: Be ready to tackle common frontend challenges related to performance, API integration, and cross-browser compatibility.

  • AI/Data Visualization Context: While not an AI development role, understanding how to represent AI-generated insights or real-time data visually will be key. Think about how you'd design dashboards or troubleshooting interfaces.

๐Ÿ“ Enhancement Note: The portfolio review is critical for this role. Candidates should be ready to demonstrate not just coding ability but also strategic thinking in UI development, especially concerning data visualization and AI integration.

๐Ÿ›  Tools & Technology Stack

Primary Tools:

  • Frontend Framework: React

  • Language: TypeScript

  • State Management: Zustand

  • Data Fetching/Caching: Tanstack Query (React Query)

  • Styling: Tailwind CSS v4, Material UI

  • Legacy Code: ReScript (OCaml-based)

  • Prototyping Tools: Potentially Lovable or similar GenAI UI tools for rapid prototyping.

Analytics & Reporting:

  • Internal dashboarding tools for monitoring application performance and user engagement.

CRM & Automation:

  • Not directly applicable to the UI Engineer role, but understanding how the frontend interacts with backend systems that might use CRMs or automation platforms is beneficial.

  • CI/CD & DevOps: Docker, Travis CI, Bash scripting for build, test, and deployment pipelines.

๐Ÿ“ Enhancement Note: The specific mention of Zustand, Tanstack Query, Tailwind CSS v4, and the ReScript migration provides a clear picture of the current and evolving tech stack. Candidates should be familiar with these or demonstrate a strong ability to learn them quickly.

๐Ÿ‘ฅ Team Culture & Values

Operations Values:

  • Customer Obsession: A strong focus on understanding and meeting customer needs, translating into user-centric UI design.

  • Agility: Ability to adapt quickly to changing requirements and technologies, essential in the fast-paced AI and observability space.

  • Striving to be Better Everyday: A culture of continuous improvement, encouraging learning, experimentation, and refinement of processes and products.

  • Trust: Fostering an environment where team members can rely on each other and take ownership of their work.

  • Performance and Recognition: A culture that values high performance and recognizes contributions.

Collaboration Style:

  • Cross-functional Integration: Close collaboration with AI/ML, Data Science, Product, and UX teams is fundamental to translating complex AI outputs into user-friendly interfaces.

  • Design Review Culture: Emphasis on design-driven development means active participation in design reviews and feedback sessions.

  • Knowledge Sharing: Expect opportunities to share best practices, learnings, and code through code reviews, internal tech talks, and documentation.

๐Ÿ“ Enhancement Note: The company's core values of trust, customer obsession, and agility are key indicators of the expected work environment. Collaboration is highlighted as a crucial element, especially with specialized AI teams.

โšก Challenges & Growth Opportunities

Challenges:

  • Translating AI Complexity: The primary challenge will be effectively visualizing and presenting complex AI-generated insights (anomaly explanations, root-cause predictions) in an intuitive and actionable way for users.

  • Real-Time Data Synchronization: Ensuring seamless and performant synchronization of real-time observability data with AI models and the UI.

  • Legacy Code Migration: Strategically migrating the existing ReScript codebase to TypeScript while maintaining application stability and feature development.

  • Keeping Pace with AI Evolution: The rapid advancement of AI and GenAI technologies requires continuous learning and adaptation to leverage new UI capabilities.

Learning & Development Opportunities:

  • AI/ML Integration Expertise: Gain hands-on experience integrating AI and GenAI capabilities into user interfaces, working closely with specialized teams.

  • Advanced Frontend Architectures: Deepen knowledge of modern React patterns, state management, and performance optimization techniques.

  • Observability Domain Knowledge: Develop a strong understanding of hybrid IT observability, which is core to LogicMonitor's product.

  • Mentorship: Potential to mentor junior engineers and contribute to the growth of the frontend team.

๐Ÿ“ Enhancement Note: The challenges are directly tied to the innovative nature of the role, focusing on the intersection of AI, observability, and frontend development. Growth opportunities are substantial for engineers looking to specialize in these cutting-edge areas.

๐Ÿ’ก Interview Preparation

Strategy Questions:

  • "How would you design a UI component to visualize potential root causes identified by an AI model?"

  • "Describe a time you had to integrate real-time data into a frontend application. What were the challenges and how did you overcome them?"

  • "How would you approach migrating a significant portion of a ReScript codebase to TypeScript while minimizing disruption?"

  • "Walk us through a complex UI you built. What were the key technical decisions and trade-offs you made?"

Company & Culture Questions:

  • "Why are you interested in LogicMonitor and this specific role focusing on AI-powered UIs?"

  • "Describe your experience working in a collaborative, cross-functional team environment, especially with data scientists or AI engineers."

  • "How do you stay updated with the latest trends in frontend development and AI?"

Portfolio Presentation Strategy:

  • Focus on Impact: For each project, clearly articulate the business problem, your role, the solution, and the quantifiable results.

  • Technical Depth: Be ready to discuss the architecture, state management, API interactions, and any performance optimizations implemented.

  • AI/Data Visualization Relevance: If you have relevant projects, emphasize how you handled complex data or visualized insights.

  • Code Walkthrough: Be prepared to share your screen and walk through key parts of your codebase, explaining your logic and structure.

๐Ÿ“ Enhancement Note: Interview preparation should focus on demonstrating not just technical proficiency but also strategic thinking, problem-solving skills, and an understanding of LogicMonitor's AI-driven product vision.

๐Ÿ“Œ Application Steps

To apply for this Sr. UI Engineer, AI position:

  • Submit your application through the LogicMonitor careers portal via the provided link.

  • Portfolio Customization: Tailor your portfolio to highlight projects demonstrating expertise in React, TypeScript, real-time UIs, and any experience with data visualization or AI integration.

  • Resume Optimization: Ensure your resume clearly articulates your 4+ years of front-end experience, specifically mentioning React, TypeScript, state management tools (Zustand, Tanstack Query), styling frameworks (Tailwind CSS), and any experience with ReScript or functional programming. Quantify achievements where possible.

  • Technical Preparation: Rehearse common React/TypeScript interview questions and coding challenges. Be ready to discuss your portfolio projects in detail, focusing on technical decisions and problem-solving.

  • Company Research: Familiarize yourself with LogicMonitor's platform, its AI initiatives (Edwin AI, AIOps, GenAI), and its company culture and values to articulate your interest and fit effectively.

โš ๏ธ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. While every effort has been made to provide a comprehensive overview, candidates should verify specific details regarding responsibilities, qualifications, and the interview process directly with the LogicMonitor hiring team.

Application Requirements

Candidates should have 4+ years of experience in modern front-end engineering with React and TypeScript, and a proven ability to ship real-time UIs. Familiarity with functional programming principles and experience with CI/CD and DevOps tooling is also required.