Required Skill Set: Experience fine-tuning open-source LLMs or SLMs (Small Language Models) specifically for high-speed conversational execution. Prior experience building omnichannel systems where a single conversational engine powers both a text-based web/WhatsApp chatbot and a telephonic voice agent smoothly.
Experience: 1-2 Year
Job Summary:
We are looking for a Senior AI Engineer to spearhead the design, architecture, and deployment of our next-generation conversational AI ecosystems. In this role, you will bridge the gap between advanced Large Language Models (LLMs), Agentic workflows, and real-time voice infrastructure. You wont just be plugging into basic APIs; you will be optimizing low-latency audio pipelines, managing complex conversational state machines, and building intelligent agents that can handle unstructured, real-world human interactions seamlessly over both voice and chat interfaces.
Key Responsibilities:
Core Responsibilities
- End-to-End Voice Architecture: Design, build, and optimize scalable pipelines integrating Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and LLMs for ultra-low latency less than 1.5s perceived response time voice bots.
- Agentic Framework Design: Develop and deploy multi-agent orchestration workflows that allow bots to reason, call external APIs, query databases dynamically, and execute complex business logic during live conversations.
- State Context Management: Implement robust dialog management and context retention systems, ensuring the bot can handle interruptions, digressions, and multi-turn conversations without losing track.
- Backend API Integration: Build highly performant backends to connect conversational interfaces with enterprise CRMs, databases, and third-party systems using robust API architectures.
- Evaluation Optimization: Set up continuous evaluation frameworks to monito
📌 AI Developer (Mumbai)
🏢 Byasa Tech Solutions
📍 Mumbai
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