Full-Stack Frontend Engineer for GenAI Apps

KEY RESPONSIBILITIES

• Design and develop front-end interfaces for LLM-powered workflows using frameworks such as React or Vue
• Implement user-centric designs, wireframes, and prototypes using tools such as Figma or Sketch
• Develop and maintain backend APIs and services using technologies such as Node.js, Python, or similar frameworks
• Integrate front-end applications with GenAI models, vector databases, and analytics systems
• Perform end-to-end testing, debugging, and performance optimization of applications
• Collaborate with product, sales, and engineering teams to gather requirements and improve user experience
• Design, develop, test, deploy, and maintain applications throughout the full software development lifecycle
• Apply disciplined coding practices including design patterns, automation, semantic versioning, and use of third-party libraries
• Conduct application testing and analysis to ensure solutions meet performance and user requirements
• Assist in developing automated testing frameworks to support high-quality code delivery
• Troubleshoot errors, resolve bugs, and improve overall system performance and efficiency
• Participate in brainstorming and ideation sessions to develop innovative digital solutions
• Develop prototypes and solution diagrams to present proposed technical approaches
• Apply CI/CD methodologies and DevSecOps practices to support secure and efficient application delivery
• Perform peer code reviews to maintain code quality and encourage continuous team learning
• Log tasks, updates, and documentation accurately using tools such as Jira
• Collaborate with cross-functional teams including Data Infrastructure, Web Backend, and Web Frontend teams

• 3–5 years of full stack development experience with strong emphasis on front-end development
• Experience with modern front-end frameworks such as React or Vue
• Experience with prototyping tools such as Figma or Sketch
• Knowledge of REST API development and integration
• Experience with CI/CD pipelines and DevSecOps practices
• Familiarity with LLM-based applications or conversational AI integrations
• Strong understanding of core web technologies and responsive design principles
• Strong foundation in data structures, algorithms, and object-oriented programming
• Familiarity with testing frameworks and debugging tools
• Ability to work in fast-paced cross-functional environments
• Strong communication, collaboration, and problem-solving skills

• Experience developing cloud-based applications
• Experience with backend development using Python, Node.js, or serverless architectures
• Understanding of architectural design patterns for scalable applications
• Familiarity with caching mechanisms and resilience patterns for distributed systems