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Tier-1 brand, metro location and in-demand AI skills increase applicant density.
Role requires specialized ML/GenAI and LLM experience, moderately limiting cross-industry transferability.
Requires specific ML/GenAI, LLM integration and backend Python expertise plus managerial experience, raising filter strictness.
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Design and develop scalable, maintainable backend systems using Python frameworks (Flask, Django, FastAPI) including RESTful APIs and database schemas.
Research, develop, and optimize enterprise-grade Agentic AI applications integrating with LLMs (Gemini, Claude, OpenAI) and RAG-based architectures.
Lead and mentor a development team, ensuring timely deliverables, fostering collaboration, and promoting best practices in AI and backend engineering.
Bachelor’s degree in B.Tech/BE or higher.
Proficient in backend development with Python frameworks such as Flask, Django, or FastAPI.
Experience in AI development with practical knowledge of integrating LLMs and developing AI algorithms.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building scalable, modular backend architectures and optimizing application performance.
Hands-on experience with Agentic AI, RAG-based applications, and working with multiple large language models.
Proven leadership in managing and mentoring development teams in AI and backend software projects.