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Common Software Engineer title, mid-level band, and Bangalore metro increase applicant competition.
Core backend and integration skills transfer across industries, though AI-specific responsibilities increase domain specialization.
Multiple mandatory technical skills and AI integration requirements raise selection rigor despite no explicit years requirement.
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Design, develop, maintain software applications and batch job processes incorporating AI-assisted development practices.
Leverage generative AI tools to accelerate development, automate code generation, testing, review, and AI workflow automation.
Collaborate with stakeholders across SDLC, mentor peers on AI-era engineering practices, and contribute to AI governance ensuring responsible use and compliance.
Work Experience Required: Not explicitly mentioned in the JD.
Proficiency in software application development, batch job management, and troubleshooting.
Experience with AI tools such as Claude, GitHub Copilot, generative AI platforms, AI APIs, and integration of third-party AI services.
Location Requirement: Bangalore, India (on-site at 2nd Floor Divyasree Towers Bannerghatta Main Road).
Experienced in software engineering with strong autonomy managing full SDLC incorporating AI.
Skilled in generative AI prompt engineering, AI-assisted coding/testing, and AI workflow automation at scale.
Capable of balancing innovation with responsible AI governance, ethical use, data privacy, security, and compliance standards.