





Backend role in Bangalore with AI tooling interest and common title increases applicant density.
Strong backend and cloud skills transfer across industries, but AI-specific tooling raises moderate domain preference.
Mandatory Java/Spring, cloud, and hands-on AI integration skills create moderate technical filtering.
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Design, build, and operate scalable backend services and APIs using Java and Spring Boot for a SaaS platform.
Lead implementation of complex features and integrate AI technologies to enhance product development and engineering workflows.
Mentor engineers and promote best practices while collaborating with Product, Design, and Engineering teams to improve customer experience.
Strong experience in backend development with Java and Spring Boot.
Experience in designing and operating scalable cloud-based SaaS systems on platforms like Azure, AWS, or GCP.
Hands-on experience integrating AI into products or engineering workflows using frameworks like LangChain or tools like Claude Code.
Work Experience Required: Not explicitly mentioned in the JD.
Skilled software engineer with strong fundamentals and experience building AI-enhanced engineering tools rather than AI research or model training.
Experienced in cloud-native architectures, CI/CD, and modern distributed systems.
Able to lead and drive adoption of AI-powered workflows within software development teams in a fast-growing SaaS environment.