Senior AI & Machine Learning Engineer (Speech & NLP Specialist)

Role Overview: We are seeking a Senior AI Engineer to architect and build a high\-performance, custom Voice AI infrastructure. This role focuses on developing an end\-to\-end real\-time audio processing pipeline and an intelligent NLP engine capable of synthesizing complex regulatory data into actionable insights with sub\-second latency. Key Responsibilities: \- Custom Voice Infrastructure: Develop a proprietary, low\-latency audio pipeline integrating Speech\-to\-Text (STT), Large Language Models (LLMs), and Text\-to\-Speech (TTS). \- Intelligent Data Parsing: Architect agentic workflows to ingest complex documentation and translate technical/legal jargon into plain\-language summaries. \- Real\-time Audio Streaming: Manage full\-duplex audio transmission using WebSockets and WebRTC to achieve human\-like conversational responsiveness. \- Automated Information Retrieval: Build scalable scrapers and API consumers to monitor high\-frequency data sources and public registries for real\-time updates. \- Advanced RAG Systems: Implement sophisticated Retrieval\-Augmented Generation (RAG) using Vector Databases to provide the AI with deep contextual awareness. Technical Requirements: \- Programming: Expert\-level Python; experience with asynchronous programming and high\-concurrency systems. \- NLP \& AI: Proven experience with LangChain, LlamaIndex, and fine\-tuning open\-source LLMs. \- Speech Processing: Experience with real\-time transcription (STT) and neural speech synthesis (TTS) engines. \- Data Systems: Proficiency with Vector DBs (e.g., Pinecone, Milvus) and SQL/NoSQL databases. \- Protocols: Strong understanding of WebSockets, WebRTC, and real\-time data streaming. Location: DHA Phase 6, Karachi. Shift: Morning.