Employer description & source details
Generative AI and Conversational AI Development Design, build, and deploy Generative AI-powered voice bots and conversational AI applications for enterprise use cases. Develop intelligent conversational systems that support natural, context-aware, and reliable interactions. Evaluate and integrate LLMs such as GPT, LLaMA, and other suitable foundation models. Develop prompt engineering strategies, fine-tuning approaches, and context-management techniques to improve model performance. Design and optimise end-to-end voice processing pipelines involving Speech-to-Text (STT), Large Language Models, and Text-to-Speech (TTS). Improve response latency, speech quality, conversational flow, and overall user experience. Integrate speech recognition and speech synthesis technologies with LLM-powered applications. Identify and resolve performance bottlenecks across voice processing and inference workflows. Build and maintain RAG pipelines to enable accurate, context-aware responses using relevant knowledge sources. Develop retrieval strategies, prompt templates, and contextual grounding mechanisms to improve response quality. Evaluate and optimise LLM performance for voice-first applications and domain-specific business requirements. Improve tool-calling accuracy, response consistency, and the reliability of multi-step conversational workflows. Experiment with model fine-tuning and other optimisation techniques to enhance performance. Conversation Design and Workflow Development Design conversational workflows, dialogue systems, intents, and interaction patterns for voice-based applications. Improve conversation handling, context retention, error recovery, and response relevance. Develop tool-augmented LLM applications and agentic workflows that can execute tasks and interact with e
Extracted skills: python, sql, machine learning, sales