Tech Stack

Description

In this customer-facing role, you will lead the design and implementation of AI Agent solutions for enterprise customers, translating complex requirements into production-ready AI workflows. You'll work at the intersection of LLMs, conversational design, and enterprise systems, shaping how companies leverage LLMs to transform customer experience.

Requirements

• 4+ years in a customer-facing technical role, ideally with conversational AI, LLMs, or AI-driven applications
• Hands-on experience in conversation design and AI agent development
• Comfortable with LLMs, prompting techniques (chain-of-thought, few-shot), and model behavior optimization
• Strong analytical and problem-solving skills to break down complex workflows
• Experience with APIs, system integrations, and enterprise architectures

Responsibilities

• Design and implement AI agent solutions, translating customer requirements into scalable conversational workflows and architectures
• Develop and refine LLM-driven agent behavior through prompt engineering, embeddings, and structured workflows
• Integrate AI agents with enterprise systems (APIs, CRMs, backend services) and ensure end-to-end delivery
• Troubleshoot and resolve issues across workflows, integrations, and system behavior in production environments
• Collaborate cross-functionally with Engineering, Product, and Customer teams to ensure successful delivery and scalability