Java Full Stack Developer with AI/LLM Exposure

As a Java Full Stack Developer with AI/LLM exposure, you will be responsible for developing and maintaining scalable full-stack applications. Your role will involve designing, developing, and consuming RESTful APIs, as well as building responsive and user-friendly web interfaces using frameworks like React, Angular, or similar. Collaboration with cross-functional teams to implement new features and participation in code reviews, debugging, testing, and performance optimization are key aspects of the role. Additionally, integrating AI/LLM services and APIs into business applications and utilizing AI-assisted development tools for improved productivity will be part of your responsibilities. Following best practices for software development, CI/CD, and version control is essential. Key Responsibilities: - Develop and maintain scalable full-stack applications - Design, develop, and consume RESTful APIs - Build responsive and user-friendly web interfaces using React, Angular, or similar frameworks - Collaborate with cross-functional teams to design and implement new features - Participate in code reviews, debugging, testing, and performance optimization - Integrate AI/LLM services and APIs into business applications - Utilize AI-assisted development tools such as GitHub Copilot and ChatGPT to improve productivity - Follow best practices for software development, CI/CD, and version control Qualifications Required: - Strong hands-on experience in Java - Experience with Spring Boot and Microservices - Expertise in REST API development and integration - Good knowledge of SQL databases - Exposure to NoSQL databases is an advantage - Strong proficiency in JavaScript/TypeScript - Experience with React, Angular, or similar frameworks - Understanding of AI/LLM concepts and application workflows - Experience integrating AI APIs such as OpenAI, Azure OpenAI, Gemini, or similar platforms - Git, GitHub, and CI/CD pipelines - Testing, debugging, and performance optimization - Strong analytical and problem-solving abilities - Excellent communication and collaboration skills As a Java Full Stack Developer with AI/LLM exposure, you will be responsible for developing and maintaining scalable full-stack applications. Your role will involve designing, developing, and consuming RESTful APIs, as well as building responsive and user-friendly web interfaces using frameworks like React, Angular, or similar. Collaboration with cross-functional teams to implement new features and participation in code reviews, debugging, testing, and performance optimization are key aspects of the role. Additionally, integrating AI/LLM services and APIs into business applications and utilizing AI-assisted development tools for improved productivity will be part of your responsibilities. Following best practices for software development, CI/CD, and version control is essential. Key Responsibilities: - Develop and maintain scalable full-stack applications - Design, develop, and consume RESTful APIs - Build responsive and user-friendly web interfaces using React, Angular, or similar frameworks - Collaborate with cross-functional teams to design and implement new features - Participate in code reviews, debugging, testing, and performance optimization - Integrate AI/LLM services and APIs into business applications - Utilize AI-assisted development tools such as GitHub Copilot and ChatGPT to improve productivity - Follow best practices for software development, CI/CD, and version control Qualifications Required: - Strong hands-on experience in Java - Experience with Spring Boot and Microservices - Expertise in REST API development and integration - Good knowledge of SQL databases - Exposure to NoSQL databases is an advantage - Strong proficiency in JavaScript/TypeScript - Experience with React, Angular, or similar frameworks - Understanding of AI/LLM concepts and application workflows - Experience integrating AI APIs such as OpenAI, Azure OpenAI, Gemini, or similar platforms - Git, GitHub, and CI/CD pipelines - Testing, debugging, and performance optimization - Strong analytical and problem-solving abilities - Excellent communication and collaboration skills