4+ years of overall experience in AI / ML solution development , including hands-on work on at least one production-grade Generative AI use case .
Proven expertise in developing Gen AI solutions , particularly RAG-based (Retrieval-Augmented Generation) or Agentic AI implementations for global customers.
Solid understanding of Agentic AI concepts and practical experience with Agentic frameworks such as LangGraph or similar tools.
Hands-on experience with open-source LLMs (e.g., Llama, GPT-OSS) and multimodal models .
Strong knowledge in evaluating and refining Generative AI solution performance using appropriate metrics and testing methodologies.
Excellent analytical, debugging, and problem-solving skills with a focus on solution scalability and robustness.
Good to Have
Experience working with cloud platforms such as AWS , Azure , or GCP for AI solution deployment.
Familiarity with DevOps practices and CI / CD pipelines for Gen AI deployments.
Understanding of advanced RAG methodologies , including query transformation and prompt optimization techniques .
Awareness of LLM guardrails , ethical AI considerations , and enterprise-grade best practices for Generative AI deployment.
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Generative Ai Engineer • ajmer, rajasthan, in
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