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Generalist Software Engineer II, mid-level, Bangalore office increases applicant competition.
Core software engineering skills and AI tooling are broadly transferable across industries, lowering background sensitivity.
No explicit years but requires AI-assisted development, batch processing, and integrations, so moderate technical filters.
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Design, develop, and maintain applications and system functions supporting critical business operations with AI-assisted development practices.
Manage and schedule batch jobs while leveraging AI tools for troubleshooting, automation, and performance optimization.
Collaborate across the software development lifecycle, applying generative AI, prompt engineering, and responsible AI governance to enhance productivity and quality.
Work Experience Required: Not explicitly mentioned in the JD.
Location: Bangalore, India (Onsite)
Proficiency in AI tools integration (Claude, GitHub Copilot, generative AI platforms) and software development lifecycle practices.
Ability to manage batch jobs, troubleshoot complex issues, and implement AI-assisted coding, testing, and automation processes.
Experienced in incorporating AI technologies into application development and automation workflows, balancing innovation with ethical and security standards.
Strong autonomy with ability to mentor peers on AI-era engineering best practices and contribute to team AI governance.
Data-driven and proficient in AI-assisted performance monitoring, prompt engineering, and multi-step AI agent workflow design.