JAVA FULL STACK DEVELOPER (AI) @ TECHNOVERA
Technovera is currently seeking a seasoned Java Full Stack Developer with a specialized focus on Artificial Intelligence to join our growing engineering team. This role is designed for professionals who can effectively blend traditional full-stack Java development with modern AI capabilities to build next-generation scalable applications. You will be responsible for the end-to-end development life cycle, ensuring that backend microservices and frontend interfaces work seamlessly together to deliver AI-driven features to users across various platforms. The position offers flexibility with options for onsite, hybrid, or remote work environments across the United States.
In this role, you will utilize a robust tech stack including Java, Spring Boot, and RESTful services for backend development, alongside React or Angular for frontend excellence. A significant portion of your work will involve integrating Generative AI, Large Language Models (LLM), and Natural Language Processing (NLP) into our core products. Experience with cloud infrastructure such as AWS, Azure, or GCP is essential for managing our scalable microservices architecture. This is a full-time W2 position suitable for developers with 5 to 8 years of professional experience who are ready to drive innovation in the AI space.
In this role, you will utilize a robust tech stack including Java, Spring Boot, and RESTful services for backend development, alongside React or Angular for frontend excellence. A significant portion of your work will involve integrating Generative AI, Large Language Models (LLM), and Natural Language Processing (NLP) into our core products. Experience with cloud infrastructure such as AWS, Azure, or GCP is essential for managing our scalable microservices architecture. This is a full-time W2 position suitable for developers with 5 to 8 years of professional experience who are ready to drive innovation in the AI space.
Key Requirements
Minimum of 5 to 8 years of professional experience in full-stack software development.
Advanced proficiency in Java and the Spring Boot framework for backend services.
Solid understanding and hands-on experience with Microservices architecture.
Strong front-end development skills using modern frameworks like React or Angular.
Expertise in designing and implementing RESTful APIs and web services.
Practical experience or knowledge in Generative AI and Large Language Models (LLM).
Familiarity with Natural Language Processing (NLP) techniques and implementation.
Proficiency with at least one major cloud platform: AWS, Azure, or Google Cloud Platform (GCP).
Ability to work effectively in a Full-Time / W2 employment structure.
Strong analytical and problem-solving skills to build scalable AI-driven application features.