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Mid-level metro role with in-demand GenAI specialization but moderate company brand yields medium competition.
Core GenAI and LLM skills transfer across industries, though healthcare preference increases domain specificity.
Explicit 3-6 years plus mandatory GenAI, LLM, fine-tuning, and cloud tech requirements make shortlisting strict.
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Own delivery of products based on large language models (LLMs) and related technologies such as Langchain and Lang graph.
Implement and fine-tune generative AI solutions including RAG and Claude in the healthcare domain.
Work with cloud platforms (GCP, AWS, Azure) to deploy and manage generative AI applications.
3-6 years of experience in generative AI engineering roles.
Proficiency in Python and experience with LLMs and their fine tuning.
Graduate degree in technology or related field.
Strong knowledge of cloud technologies (GCP, AWS, Azure).
Experience working in healthcare domain or exposure to healthcare-related business areas.
Skilled in deploying generative AI solutions with operational ownership of LLM-based products.
Comfortable working in Noida SEZ location environment and within multi-cloud setups.