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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy Large Language Models (LLMs), Generative AI, and Speech AI applications including Speech-to-Text (STT), Text-to-Speech (TTS), and real-time voice AI solutions.
Build conversational AI agents, voice bots, intelligent virtual assistants, and integrate these with telephony, contact center platforms, CRM systems, and enterprise applications.
Optimize AI application performance including speech recognition accuracy, response latency, conversational flow, multilingual support, and develop scalable APIs and backend services.
Minimum Requirements
Strong programming skills in Python and API development using FastAPI or similar frameworks.
Experience working with LLMs such as OpenAI GPT, Llama, Claude, Gemini, or other open-source models and AI frameworks like LangChain, LangGraph, LlamaIndex.
Knowledge of speech technologies including Whisper, Deepgram, Google Speech-to-Text, Azure Speech, ElevenLabs, and experience with real-time audio streaming technologies like WebSockets, WebRTC.
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field; Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Has operational experience designing and deploying enterprise conversational AI and voice automation solutions with integration into telephony and contact center systems.
Experienced in optimizing complex AI systems for low-latency, multilingual speech recognition, and real-time interaction scenarios.
Comfortable working with cloud environments (AWS, Azure, GCP), containerization (Docker), vector databases, and maintaining production-grade AI reliability and security.