Lead Software Engineer Artificial Intelligence AI

We are seeking an experienced Lead Frontend Engineer to design and build the user interface for our centralized AI platform. This role will focus on creating an intuitive, responsive frontend that enables teams across the company to build, deploy, and manage AI agents through a seamless web application. You'll also develop reusable chatbot modules that can be integrated into various SaaS products within our ecosystem.

Design and implement the main AI platform frontend using modern frameworks (React, Angular, or Vue.js)
• Build intuitive user interfaces for agent creation, configuration, deployment, and monitoring workflows
• Design and build modular, reusable chatbot components that can be embedded across different SaaS
  products
• Develop responsive dashboards and data visualization components for agent performance metrics and
  analytics
• Create interactive forms and wizards that guide users through complex agent setup processes
• Implement real-time updates and notifications for agent status changes and system alerts
• Work closely with the UX team to translate wireframes and design mockups into pixel-perfect, interactive
  interfaces
• Implement comprehensive client-side validation and user feedback mechanisms
• Ensure seamless data flow between frontend components and backend service APIs
• Complete all responsibilities as outlined in the annual performance review and/or goal setting.
• Complete all special projects and other duties as assigned.
• Must be able to perform duties with or without reasonable accommodation.
  
  

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8+ years of frontend development experience with 6+ years using modern JavaScript frameworks
• Expert-level proficiency in React and/or Angular, with deep understanding of component lifecycles, state
  management, and performance optimization
• Strong experience with TypeScript and modern JavaScript (ES6+) features and best practices
• Proficiency in HTML5, CSS3, and CSS preprocessors (Sass, Less) or CSS-in-JS solutions
• Experience with state management libraries (Redux, NgRx, Zustand, or Pinia) for complex application state
• Knowledge of build tools and bundlers (Webpack, Vite, Angular CLI, Create React App)
• Strong experience with version control (Git), CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), and
  automated testing
• Experience with containerization and orchestration (e.g., Docker, Kubernetes).
• Cloud platform experience (AWS, GCP, or Azure).

Cognitive / Mental Requirements:

• Ability to work independently as well as collaborate as a team with a sense of urgency.
• Professional with ability to properly handle confidential information.
• Be value-driven, understand that success is based on the impact of your work rather than its complexity or
  the level of effort.
• Ability to handle multiple tasks, prioritize and meet deadlines.

Physical Requirements and Working Conditions:

• Flexibility to work with global teams as well geographically dispersed US based teams.
• Must be able to provide high-speed internet access / connectivity and office setup and maintenance.
• Must be able to provide a dedicated, secure work area.

Base compensation ranges from $170,000 to $200,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.

Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.

Date of posting: xx/xx/2025

Applications are assessed on a rolling basis. We anticipate that the application window will close on xx/xx/2025, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

#LI-MJ1

#LI-Remote