AI Full Stack Engineer

Company Description Surya Wave is a premier online technology partner specializing in end-to-end project development for a global client base. As a fully remote company, Surya Wave builds and deploys cutting-edge digital solutions, including custom software, web applications, mobile apps, and cloud-based platforms with AI integration. The team focuses on delivering innovative, high-quality projects with speed, precision, and strong project management practices. Surya Wave supports digital transformation through IT consulting, remote teams, and tailored tech solutions that help businesses scale and modernize. Candidates joining Surya Wave can expect to work with diverse industries and advanced technologies in a dynamic, innovation-driven environment.
Role Description The AI Full Stack Engineer role at Surya Wave is a full-time, on-site position based in Eluru. In this role, the engineer designs, develops, and maintains end-to-end web applications, integrating AI components into both front-end and back-end systems. Day-to-day responsibilities include building responsive user interfaces, implementing secure and scalable server-side logic, connecting to databases and APIs, and ensuring seamless deployment of features. The engineer collaborates closely with product managers, designers, and other developers to translate requirements into robust technical solutions, troubleshoot issues, and optimize performance. The role also involves code reviews, documentation, and continuous improvement of development practices and system architecture.
Qualifications
Candidates should possess strong Full-Stack Development and Software Development skills, with experience building end-to-end web applications.
Candidates should possess Front-End Development skills, including proficiency in Cascading Style Sheets (CSS) and modern JavaScript frameworks or libraries.
Candidates should possess Back-End Web Development skills, including experience with server-side languages, frameworks, APIs, and database integration.
Candidates should possess knowledge of AI integration, such as working with machine learning models, AI APIs, or cloud-based AI services.
Candidates should possess solid understanding of version control (e.g., Git), CI/CD pipelines, and modern software development practices.
Candidates should possess strong problem-solving abilities, clear communication skills, and the capacity to collaborate effectively in cross-functional teams.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience, is preferred.
Experience with cloud platforms (e.g., AWS, Azure, GCP) and building scalable, secure architectures is an advantage.

Work arrangement
No