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

Full-stack Engineer

• Develop, implement, and maintain high-quality software, focusing on full stack solutions for a variety of applications.
• Create Data Apps and dynamic web dashboards for strategic data monitoring and control, as well as control dashboards for scheduled routines in a Management Hub.
• Write clean, modular, and optimized code in appropriate programming languages, ensuring project scalability and maintainability.
• Design and implement control and automation systems for RPAS, integrating front-end and back-end development.
• Collaborate directly with the IT team to ensure full integration and operation of systems.
• Perform rigorous and automated testing to ensure the quality and performance of systems and RPAS software.
• Diagnose and resolve bugs and performance issues, always seeking the best solutions for usability and system security.
• Produce and maintain detailed, clear, and accessible technical documentation for the software and systems developed.
• Work in synergy with multidisciplinary teams, contributing to knowledge sharing and alignment of objectives.

Full Stack Developer

DevOps Engineer

• Projetar, implementar e manter infraestruturas em nuvem utilizando AWS;
• Automatizar provisionamento e configuração de infraestrutura utilizando Terraform (Infrastructure as Code);
• Desenvolver e manter pipelines CI/CD para automação de build, testes e deploy;
• Implementar e evoluir soluções de observabilidade, monitoramento e alertas, preferencialmente utilizando DataDog;
• Garantir performance, escalabilidade, disponibilidade e resiliência dos ambientes;
• Atuar na análise e resolução de incidentes críticos, troubleshooting e análise de causa raiz;
• Apoiar times de desenvolvimento na adoção de boas práticas DevOps;
• Realizar otimizações de custos, capacidade e utilização dos recursos em nuvem;
• Implementar estratégias de segurança, backup e recuperação de desastres;
• Documentar arquiteturas, processos e padrões operacionais;
• Participar da evolução contínua da arquitetura e dos processos de entrega.

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

Full Stack Developer

Engenheiro DevOps