Back
Tier-1 brand, popular fullstack title, metro location, and mid-level experience increase applicant competition.
Technical fullstack and AI skills transfer across industries, though AI integration experience is somewhat domain-specific.
Explicit 6+ years and mandatory Java/SpringBoot/Angular plus AI, Kubernetes, CI/CD enforce strict technical filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and maintain scalable web applications using Java, Spring Boot, and Angular with a focus on AI/ML integration.
Design, implement, and operationalize AI/ML models and intelligent features such as predictive analytics, recommendation systems, and NLP within full-stack applications.
Build and deploy RESTful APIs, utilize MongoDB, and leverage cloud technologies including Docker, Kubernetes, and CI/CD pipelines for continuous delivery of AI-enabled solutions.
Bachelor’s degree in Computer Science, Engineering, or related field.
4-8 years of experience as a Full Stack Developer with experience or strong interest in AI/ML integration.
Proficiency with Java, Spring Boot, Angular, MongoDB, RESTful APIs, Docker, Kubernetes, and CI/CD tools.
Work Experience Required: 4-8 years full stack development with AI/ML integration focus.
Experienced in integrating AI/ML models into production software, collaborating cross-functionally with data scientists and AI engineers.
Strong operational skills with cloud containerization and orchestration technologies (Docker, Kubernetes) and CI/CD for deployment of AI solutions.
Technical depth in both front-end (Angular) and back-end (Java, Spring Boot) with practical knowledge of AI/ML workflows and data processing.