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Tier-1 brand, mid-level role, metro location, broad GenAI skillset drive high competition.
Highly specialized GenAI and LLM engineering skills limit cross-industry transferability.
Explicit 4+ years requirement and mandatory GenAI, LLM, vector DB, and MLOps skills.
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Design, develop, and maintain Generative AI-powered applications using platforms like OpenAI, Azure OpenAI, Gemini, or Claude.
Build scalable backend services, APIs, and AI workflows; implement Retrieval Augmented Generation (RAG) solutions with vector databases and enterprise knowledge repositories.
Collaborate with architecture and business teams to identify AI use cases, ensure security and governance, participate in code reviews, and contribute to CI/CD and MLOps for AI deployment.
4+ years of relevant work experience in Generative AI development or related software engineering roles.
Bachelor's degree in Engineering (BTech/BE) is mandatory.
Strong programming skills in Python, C#, or Java with hands-on experience with Large Language Models and Generative AI platforms.
Experience with Azure OpenAI, OpenAI APIs, Gemini, Claude, prompt engineering, vector databases, and cloud platforms (Azure, AWS, or GCP).
Practitioner with deep technical expertise in implementing AI/LLM-based enterprise applications and integration of advanced AI workflows.
Experienced in applying security, governance, and responsible AI best practices in production environments.
Comfortable working in Agile environments and collaborating cross-functionally with solution architects, business analysts, and stakeholders.