Senior Full - Stack Engineer - AI

We are seeking a talented and experienced Senior Full-stack Engineer to join our Conversational AI (CXD) team. In this role, you will be responsible for designing, developing, and maintaining robust and scalable AI-powered web applications with a strong focus on frontend development (60-70%) while maintaining solid backend capabilities. You will work closely with product managers, designers, and other engineers to build next-generation AI experiences, including chat interfaces, LLM integrations, and intelligent user interactions. The ideal candidate will have deep JavaScript expertise, strong React ecosystem knowledge, experience with AI/LLM technologies, and a passion for building high-quality, maintainable solutions that effectively integrate cutting-edge AI capabilities.

Responsibilities

• AI Application Development: Build AI-powered chat applications, conversational interfaces, and intelligent user experiences
• Multi-Agent Systems: Design and implement complex AI workflows using, for example, LangGraph and multi-agentic architectures
• LLM Observability: Implement monitoring, logging, and performance tracking for AI/LLM integrations
• Frontend Development: Design, develop, and maintain responsive web applications using React, Next.js, and TypeScript with deep JavaScript expertise
• System Architecture: Make strategic technical decisions about AI application structure, data flow patterns, and scalability solutions
• Performance Engineering: Optimize Core Web Vitals, bundle analysis, rendering performance, and AI response times for complex applications
• API Integration: Develop and consume RESTful APIs, GraphQL services, and LLM APIs with proper error handling and state management
• Technical Leadership: Conduct code reviews, mentor junior developers, and establish frontend development standards
• Business Translation: Work with stakeholders to translate business requirements into technical solutions and feasibility assessments
• Test Automation: Develop comprehensive automated unit, integration, and end-to-end tests
• Production Support: Debug complex production issues, memory leaks, race conditions, and cross-browser inconsistencies
• Security Implementation: Implement authentication flows, XSS prevention, data privacy, and AI safety measures
• Backend Development: Build and maintain 70% Python, Node.js/Express.js APIs, database integrations, and AI service orchestration

Requirements:

• Bachelor's degree in computer science, engineering, or a related field.
• 5-8 years of experience in full-stack development with a frontend focus.
• Proven experience building chat applications and conversational interfaces.
• Experience integrating with AI/ML APIs and LLM frameworks.
• Strong analytical, problem-solving, and technical communication skills.
• Excellent collaboration abilities and experience working in cross-functional teams.

Frontend Technologies:

• Advanced JavaScript (ES6+, closures, prototypes, async patterns, event loop, browser APIs).
• React.js with hooks, context, and modern patterns.
• Next.js, including SSR, SSG, and App Router.
• TypeScript with a deep understanding of the type system.
• Component libraries (Ant Design or Material-UI).
• State management solutions (Redux, React Query).

Backend and Data:

• Python and Express.js for API development.
• Database technologies (PostgreSQL, MongoDB, or MySQL).
• RESTful APIs and GraphQL services.

AI/LLM Integration:

• OpenAI APIs, LangChain, or similar frameworks.
• Streaming AI responses and error handling.
• Performance optimization for AI applications.
• Multi-agent system implementation.

Development Practices and Tools:

• Modern testing frameworks (Jest, React Testing Library, Cypress).
• Performance monitoring and debugging tools.
• Git version control and collaborative workflows.
• CI/CD pipelines and deployment automation.
• System architecture patterns and scalable application design.
• Security best practices, including authentication flows and XSS prevention.

Performance and Optimization:

• Core Web Vitals optimization.
• Bundle analysis and rendering performance.
• Memory management and browser-specific optimizations.
• Cross-browser compatibility and debugging.