Senior AI Engineer

Responsibilities

• Develop and launch scalable conversational AI systems that operate across multiple channels, including chat, voice, email, and APIs
• Architect microservices and asynchronous systems for AI applications, ensuring high availability and performance
• Use Python to implement orchestration and decision logic — the control layer that manages tools, workflows, and system interactions
• Optimize AI models through fine-tuning and LoRA integration, making data-driven decisions between different approaches (FT vs RAG)
• Establish prompt engineering libraries and define evaluation protocols for prompt performance
• Design monitoring and evaluation frameworks, including dashboards, metrics, and human-in-the-loop feedback loops to maintain model quality and trust
• Work with data specialists to design pipelines for collecting, cleaning, and structuring information for AI agents
• Design CI/CD pipelines, container standards, and cloud strategies for infrastructure migrations, cost optimization, and high availability

Languages