
1001 - 5000 employees
Founded 1998
💸 Finance
⚡ Energy
💰 $80M Venture Round on 2000-05
Consulting • Finance • Energy
Capco is a global technology and management consultancy specializing in driving transformation across the financial services and energy industries. It focuses on solving complex challenges and delivering positive change for customers, the industry, and communities. Capco combines deep industry expertise with innovative technology solutions to support sectors like banking and payments, capital markets, insurance, wealth and asset management, and energy. As part of its commitment to excellence, Capco has been recognized as the Best European Consultancy in Data Management, reflecting its leadership in this field.
🕒 November 21, 2025
🗣️🇧🇷🇵🇹 Portuguese Required
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1001 - 5000 employees
Founded 1998
💸 Finance
⚡ Energy
💰 $80M Venture Round on 2000-05
Consulting • Finance • Energy
Capco is a global technology and management consultancy specializing in driving transformation across the financial services and energy industries. It focuses on solving complex challenges and delivering positive change for customers, the industry, and communities. Capco combines deep industry expertise with innovative technology solutions to support sectors like banking and payments, capital markets, insurance, wealth and asset management, and energy. As part of its commitment to excellence, Capco has been recognized as the Best European Consultancy in Data Management, reflecting its leadership in this field.
• Implement and optimize LLM agents and AI-driven reasoning flows. • Develop and maintain backend services that support GenAI applications. • Design, test, and refine prompts and prompt-engineering strategies for a variety of use cases. • Integrate grounding logic with graph structures and graph databases. • Collaborate with graph engineers on modeling, ingestion, and utilization of graph data. • Contribute to the evolution of the GenAI PRT Tool proof-of-concept (POC), ensuring scalability, performance, and technical quality. • Participate in architectural and solution-design discussions involving generative AI.
• Experience working with language models (LLMs) and developing intelligent agents. • Practical experience with prompt engineering. • Strong backend development skills (Python, Node.js, Java, or similar). • Experience with graph databases or graph frameworks (Neo4j, AWS Neptune, GraphQL Federation, etc.) is highly desirable. • Understanding of modern AI architectures, data pipelines, and API integration. • Ability to work in a collaborative, POC/MVP-oriented environment. • Degree in IT or a related field. • Advanced English.
• Cultural inclusivity • Diversity in all forms • Internal community groups for support
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