Senior Full Stack Engineer

You are an experienced Senior Full Stack Engineer with a keen interest in AI-driven technologies, ready to join a dynamic team dedicated to designing, developing, and maintaining scalable web applications. Your role will involve integrating large language models (LLMs) and AI agents into both frontend and backend systems to deliver innovative, high-quality solutions that leverage the latest advances in artificial intelligence. You will collaborate with product managers, designers, data scientists, and fellow engineers to drive faster time-to-value across product suites. Your responsibilities will include designing, developing, and maintaining robust web applications with seamless integration between frontend and backend components. You will also integrate large language models and AI agents to enhance functionality, automation, and user experience. Building and maintaining efficient RESTful APIs and/or GraphQL endpoints for AI-powered features and services will be crucial. In addition, you will design and manage both relational and NoSQL databases to support AI-driven data workflows, while working closely with frontend developers, data scientists, and other stakeholders to deliver innovative, AI-centric solutions. Conducting code reviews, writing unit and integration tests, and ensuring code quality and performance will be part of your routine. You will also mentor junior engineers, sharing knowledge on AI integration, best practices, and modern development tools. Continuous improvement is key, so staying updated with emerging AI technologies, frameworks, and industry trends to drive the adoption of best practices is essential. As a qualified candidate, you should have at least 5 years of experience in full stack web development, proficiency in frontend frameworks like React JS, and strong backend development experience with Node.js and Python. Hands-on experience integrating large language models such as GPT-3 and BERT, familiarity with RESTful APIs, GraphQL, and microservices architecture, and a solid understanding of relational and NoSQL databases are required. Additionally, experience with cloud platforms (AWS, Azure, or GCP), DevOps practices, version control systems like Git, and CI/CD pipelines will be beneficial. Your soft skills should include excellent problem-solving and analytical abilities, strong communication and collaboration skills, and the capability to work independently while managing 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 an understanding of prompt engineering and multi-agent orchestration.,