Hiring || AI Engineer Conversational AI (Chennai Mumbai Pune)

Required Skills:

Summary: We are seeking an experienced AI Engineer to drive the development of a cutting-edge AI-powered conversational platform that combines intelligent chatbots with lifelike avatar interactions and real-time lip-syncing. This role is central to designing and deploying scalable low-latency conversational systems powered by large language models (LLMs) speech technologies and digital avatar engines. The ideal candidate will bring deep expertise in Generative AI NLP and real-time AI integration with a proven ability to build production-grade systems that deliver seamless engaging user experiences. Youll collaborate closely with cross-functional teams to shape the future of human-AI interaction ensuring technical excellence performance optimization and innovation at every layer. Responsibilities: Design and implement LLM-driven conversational systems with advanced context management and response generation. Develop and integrate real-time speech-to-text (STT) and text-to-speech (TTS) pipelines for voice-enabled interactions. Build and maintain AI pipelines for Retrieval-Augmented Generation (RAG) knowledge grounding and prompt orchestration. Integrate conversational AI with avatar engines to enable synchronized facial animations and lip-syncing. Develop scalable backend services and APIs using Python (FastAPI/Flask) to support real-time chatbot and avatar workflows. Optimize AI models for performance latency and reliability in production environments. Collaborate with frontend engineers UX designers and product teams to deliver intuitive and immersive conversational experiences. Participate in system architecture planning code reviews sprint planning and technical decision-making. Ensure robustness security and ethical standards in AI deployment through prompt governance and safety mechanisms. Requirements 5 years of professional experience in AI/ML engineering with a focus on NLP Generative AI and conversational systems. Proficiency in Python with extensive hands-on experience building and deploying AI services. Demonstrated experience with LLM APIs (OpenAI Azure OpenAI Anthropic or open-source models) and advanced prompt engineering. Hands-on implementation of RAG pipelines using vector databases (Pinecone Weaviate FAISS etc.). Familiarity with AI orchestration frameworks such as LangChain LlamaIndex or similar. Experience integrating STT and TTS technologies into conversational AI platforms. Exposure to real-time avatar animation lip-syncing or digital human platforms (e.g. D-ID Synthesia Unreal MetaHuman). Solid experience building RESTful APIs and event-driven architectures using FastAPI Flask or equivalent. Proven track record in deploying containerized AI applications using Docker and cloud platforms (AWS Azure GCP). Experience with CI/CD pipelines and production-grade AI deployments. Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science or a related technical field. Preferred Skills: Experience with real-time AI streaming and WebRTC-based communication systems. Knowledge of multimodal AI (text voice video) and its integration in interactive applications. Understanding of AI safety prompt governance and ethical AI practices. Background in optimizing latency and performance for interactive low-latency AI systems. Values: Get stuff done Move fast with purpose Win with ideas Sweat the details Deliver great customer experiences Make your teammate successful