Full Stack Developer (AI)
Summary
Builds AI/ML-powered full-stack applications (frontend + backend + APIs) for enterprise clients, focusing on RAG architectures and LLM integration while adhering to Agile/SCRUM workflows.
We are seeking a skilled Developer to become a part of our Application team responsible for delivering enterprise software solutions. The role requires adherence to rigorous coding and design standards while contributing in a dynamic, innovative, and agile work environment.
Roles and Responsibilities Design, build and test agile and user-centric AI/ML products (e.g. web applications) Design, develop, test, and debug end to end software modules Build and maintain APIs to integrate data from diverse sources Apply robust and proven practices such as code reviews and test-driven development Contribute to system architecture and design discussions Enhance and refine existing applications Adhere to industry standards for software development best practices Collaborate in an Agile (SCRUM) environment Work closely with cross-disciplinary teams to identify and resolve technical challenges Use analytical skills to troubleshoot and resolve user-reported issues, prioritizing a user-centric approach Manage version control and ensure proper documentation is maintained Stay updated on emerging technologies by self-learning, experimenting, and evaluating new tools and frameworks.
What you bring Degree in Computer science / IT / Engineering or equivalent At least 2 years of relevant experience in Software Engineering specializing in AI and Cloud Platforms (AWS and/or Azure) Highly motivated and self-driven Strong appetite for innovation, autonomy and start-up like ecosystem Ability to complete assignments on tight schedule and limited resources Experience in Prompt Engineering and RAG based architectures, Google Gemini is an added plus. Good knowledge on software development security best practices to ensure robust and secure applications Good knowledge and exposure to LLM consumptions for application development Good knowledge of multiple front-end languages and libraries (e.g. React, Vue.js, Angular, HTML/ CSS, JavaScript, XML, jQuery). Experience with repositories like Github Knowledge of programming languages like Python, Java or JavaScript, Node.js and databases such as MongoDB. Experience with Firebase is an added plus. Good understanding of REST APIs and their development.
Roles and Responsibilities Design, build and test agile and user-centric AI/ML products (e.g. web applications) Design, develop, test, and debug end to end software modules Build and maintain APIs to integrate data from diverse sources Apply robust and proven practices such as code reviews and test-driven development Contribute to system architecture and design discussions Enhance and refine existing applications Adhere to industry standards for software development best practices Collaborate in an Agile (SCRUM) environment Work closely with cross-disciplinary teams to identify and resolve technical challenges Use analytical skills to troubleshoot and resolve user-reported issues, prioritizing a user-centric approach Manage version control and ensure proper documentation is maintained Stay updated on emerging technologies by self-learning, experimenting, and evaluating new tools and frameworks.
What you bring Degree in Computer science / IT / Engineering or equivalent At least 2 years of relevant experience in Software Engineering specializing in AI and Cloud Platforms (AWS and/or Azure) Highly motivated and self-driven Strong appetite for innovation, autonomy and start-up like ecosystem Ability to complete assignments on tight schedule and limited resources Experience in Prompt Engineering and RAG based architectures, Google Gemini is an added plus. Good knowledge on software development security best practices to ensure robust and secure applications Good knowledge and exposure to LLM consumptions for application development Good knowledge of multiple front-end languages and libraries (e.g. React, Vue.js, Angular, HTML/ CSS, JavaScript, XML, jQuery). Experience with repositories like Github Knowledge of programming languages like Python, Java or JavaScript, Node.js and databases such as MongoDB. Experience with Firebase is an added plus. Good understanding of REST APIs and their development.