AI/LLM Engineer

Core Development:

• Design, optimize, and version prompts for production voice and chat LLM applications
• Architect and orchestrate multi-agent systems for complex conversations
• Build automated testing and validation frameworks for LLM outputs

System Integration & Deployment:

• Collaborate with Backend Engineers to deploy and scale LLM-based systems
• Integrate LLMs with communication APIs (Twilio, WhatsApp, ElevenLabs)
• Implement RAG (Retrieval-Augmented Generation) solutions and vector search for multilingual environments

Research & Innovation:

• Research and prototype multi-agent frameworks (open-source and commercial)
• Experiment with cutting-edge conversational AI and real-time speech processing techniques
• Contribute to evolving the team's LLMOps best practices