AI Research Scientist

• Lead research and development for conversational AI, agentic AI, and multi-step reasoning systems
• Explore and prototype novel architectures, algorithms, and interaction paradigms across text, voice, and multi-modal interfaces
• Define technical roadmaps, research priorities, and model evaluation strategies for agent behaviors, tool-use workflows, and context management
• Develop agent frameworks including prompt architectures, retrieval systems (RAG), planning modules, and tool orchestration pipelines
• Build robust real-time systems including voice streaming, low-latency inference, and continuous context tracking
• Design, fine-tune, and deploy LLM-based and multi-modal models using internal infrastructure, REST APIs, and microservices
• Run systematic experiments to evaluate model quality, reliability, reasoning, and user experience
• Analyze conversational data, agent behavior traces, and performance metrics to guide iterative improvements
• Develop benchmarking protocols, simulation environments, and evaluation tooling for agentic workflows
• Partner with product teams to translate research into production features
• Work with engineering teams to ensure reliability, safety, and performance of deployed models
• Contribute to internal documentation, research reports, and knowledge-sharing sessions

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