IBM
Prompt Engineer/LLM
Multiple Cities, Brazil
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- Seniority
- Mid level
- Country
- BR
- Work mode
- On-site / unstated
- First seen by hirly
- 30 Sept 2026
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the posting
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. Atuar no desenvolvimento e manutenção de agentes conversacionais de voz e texto. Realizar análises iniciais de conversas, jornadas e volumetrias para identificação de oportunidades de melhoria. Desenvolver e aprimorar prompts para soluções baseadas em LLMs. Apoiar o levantamento e detalhamento de requisitos junto aos stakeholders, sob orientação técnica. Executar testes e validações de agentes utilizando modelos de linguagem (LLMs). Contribuir para a evolução contínua das experiências conversacionais, alinhadas aos objetivos de negócio e às necessidades dos clientes. Conhecimento em Python para desenvolvimento de agentes, ferramentas (tools) e engenharia de prompts. Familiaridade com desenvolvimento, víes de codificação sólida experiência. Experiência com automação de processos e integração por meio de APIs RESTful. Familiaridade com ferramentas de versionamento e testes, como Git e Insomnia. Conhecimento em soluções de IA Generativa, LLMs e agentes conversacionais. • Advanced Algorithm Development: Experience working with complex algorithms, including evaluating their performance using relevant metrics and fine-tuning for optimal results. • Data Visualization Techniques: Exposure to data visualization tools and techniques, enabling effective communication of Machine Learning results to stakeholders. • Specialized Machine Learning Tools: Familiarity with specialized Machine Learning tools and technologies, such as those used for natural language processing or computer vision. Brazil Data & Analytics Hybrid Professional Multiple Cities (0022) IBM Brasil-Industria, Maquinas e Servicos Limitada
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