Winover Contact Center

Engineer

• Design and develop conversational agents based on LLMs for digital channels.
• Create conversational flows and agentic architectures using patterns such as Plan-and-Execute, ReAct (Reasoning + Acting), Self-Reflection / Self-Critique.
• Implement multi-agent workflows with task delegation and agent cooperation.
• Design, document and optimize structured prompts for different use cases.
• Implement strategies for context management and conversational memory.
• Develop context builders, enrichment pipelines and token-control mechanisms.
• Implement Tool Use (Function Calling) to integrate with external APIs.
• Define secure and robust JSON schemas for tool execution.
• Handle execution errors and create fallback mechanisms for agents.
• Implement Retrieval Augmented Generation (RAG) architectures.
• Develop document ingestion pipelines, embedding generation and semantic indexing.
• Analyze conversation logs, quality metrics and user feedback.
• Monitor metrics such as resolution rate, fallback rate, latency and cost per token.
• Build evaluation datasets and automated tests for continuous agent improvement.
• Develop Python scripts and pipelines for automation and integrations.

Senior Conversational AI & LLM Engineer – Intelligent Agents, Digital Channels