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7.0 - 12.0 years

8 - 18 Lacs

Hyderabad, Chennai, Bengaluru

Hybrid

Key Responsibilities: Lead a cross-functional engineering team building AI-powered call center solutions. Oversee the deployment and tuning of STT, TTS, and LLM models. Translate expert agent feedback into model tuning strategies. Manage prompt engineering, RAG/CAG integration, and action workflows. Customize models rapidly for new enterprise clients. Ensure the team can: Understand speech-to-text and text-to-speech models Analyze feedback from expert call agents Develop and refine prompts for LLM tuning Create reliable, scalable workhorse models Optimize model operations to reduce cost Integrate LLMs with Retrieval-Augmented Generation (RAG) and Context-Augmented Generation (CAG) systems Build custom action workflows linked with enterprise data systems Enable rapid customization for customer-specific use cases and data environments Requirements: Strong background in NLP and LLMs (GPT, Mistral, Claude, etc.). Experience in leading AI/ML teams or mentoring. Exposure to distributed teams across time zones. Familiar with cloud platforms (AWS/GCP), vector DBs, LangChain, etc. Deep understanding of NLP, speech technologies, and generative AI stacks Strong systems architecture and cloud deployment skills Experience leading technical teams, ideally in a fast-paced environment

Posted 4 days ago

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