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Strong employer brand, mid-level popular GenAI role, metro location and broad skillset increase competition.
Specialized GenAI, LLM, and vector DB experience limits cross-industry transferability.
Mandatory GenAI, LLM, cloud and MLOps skills plus 4+ years make filtering stringent.
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Design, develop, and maintain Generative AI-powered applications and integrate AI/LLM-based solutions using platforms such as OpenAI, Azure OpenAI, Gemini, or Claude.
Develop scalable backend services, APIs, and AI workflows including Retrieval Augmented Generation (RAG) using vector databases and enterprise knowledge repositories.
Collaborate with architects, analysts, and stakeholders to implement AI use cases, ensure solution security, governance, and contribute to CI/CD and MLOps processes for AI deployments.
Bachelor of Engineering (BTech/BE) degree required.
4+ years of work experience in Gen AI development or related fields.
Strong programming skills in Python, C#, or Java required.
Experience with Large Language Models (LLMs), Azure OpenAI or similar AI services, prompt engineering, and cloud platforms (Microsoft Azure preferred).
Experienced in building enterprise-level AI applications with end-to-end delivery responsibility including backend and API development.
Familiar with AI/ML lifecycle management including MLOps, CI/CD pipelines, and quality assurance of AI models.
Able to collaborate across cross-functional teams and engage in solution design, security, and compliance for AI implementations.