Senior Full Stack Engineer

You are an experienced Senior Full Stack Engineer with a strong interest in AI-driven technologies, looking to join a dynamic team. Your main responsibilities will include designing, developing, and maintaining scalable web applications that integrate large language models (LLMs) and AI agents into both frontend and backend systems. Collaboration with product managers, designers, data scientists, and fellow engineers is essential to deliver innovative, high-quality solutions leveraging the latest advances in artificial intelligence. The company you will be working for is a leading AI product company, focused on revolutionizing user experiences through cutting-edge solutions like AI Universal Search, last-mile navigation, and contextual guidance. Their technology has delivered impressive results, including a 70% reduction in support ticket volume, a +30% boost in product adoption, higher conversions, and improved Net Promoter Scores (NPS). Your key responsibilities will include full stack development, AI & LLM integration, API development, database management, collaboration with stakeholders, code review & testing, mentorship of junior engineers, and continuous improvement in adopting emerging AI technologies and best practices. In terms of technical skills, you should have proficiency in frontend frameworks like ReactJS, strong backend development experience with Node.js and Python, hands-on experience integrating large language models and AI technologies, familiarity with RESTful APIs, GraphQL, microservices architecture, relational and NoSQL databases, cloud platforms, DevOps practices, version control systems, and CI/CD pipelines. Soft skills required for this role include excellent problem-solving and analytical skills, strong communication and collaboration abilities, and the ability to work independently and manage multiple priorities in a fast-paced environment. Preferred qualifications include experience with containerization technologies like Docker and Kubernetes, knowledge of security best practices for web and AI applications, familiarity with automated testing frameworks and tools, and understanding of prompt engineering and multi-agent orchestration.,