Job Summary: Capco is seeking a Senior Prompt Engineer to work with a client, collaborating with stakeholders and teams to design and execute experiments with LLMs and AI systems. Key Highlights: 1. Collaborate with stakeholders and teams on AI projects. 2. Design and execute experiments with LLMs and evaluate performance. 3. Contribute innovative ideas for product features leveraging LLMs. **ABOUT CAPCO** ----------------- Capco is a global technology and management consulting firm specializing in digital transformation, delivering innovative, data-driven solutions to a growing portfolio of more than 100 global clients—including banks, payment providers, capital markets firms, wealth and asset managers, insurers, and energy sector companies. We stand out for our personalized approach, focused on building long-term strategic partnerships and accelerating digital initiatives. Our expertise comes alive through Innovation Labs and our award-winning culture **\#BeYourselfAtWork**, which values diversity and talent. We are seeking a Senior Prompt Engineer with a strong bias toward action to work with one of our major clients. Responsibilities: * Collaborate with business stakeholders, product teams, and domain experts to understand business challenges, data sources, and success metrics for projects and systems integrated with AI models. * Build agents and other software systems with integration capabilities. * Possess the knowledge and mindset to deliver high-quality training to business teams. * Design and execute experiments with LLMs. * Evaluate model performance and experimental results, iterating rapidly based on findings. * Present findings, data-driven insights, and actionable recommendations for next steps—both to technical and, primarily, non-technical audiences. * Contribute ideas and insights, and apply innovative evaluation methodologies to design product features that leverage LLM capabilities. Knowledge Base: * Solid understanding of GenAI models, their differences, applications, and available tools in the market. * Familiarity with backend development, API construction in Python, JavaScript/TypeScript, or equivalent. * Knowledge of interacting with AI models via APIs. * Familiarity with Git, CI/CD, and deployment management in Kubernetes environments. Preferred Qualifications: * Familiarity with Project Management domains is a strong plus. * Experience building emerging technologies integrated with LLMs—such as RAGs, MCPs, or multi-agent systems. * Familiarity with data science methodologies (data analysis, evals, or advanced statistical analysis techniques). * Experience in machine learning (e.g., ML model inference and training). Solid experience with AI platforms and applications. Broad market awareness of AI, with the ability to assess various tools and approaches. Analytical capability to identify process gaps and design automation solutions. **WHY CAPCO:** ------------------ At Capco, we foster an inclusive culture. We value diversity in all its forms. Together, we continually develop diverse inclusion and social responsibility initiatives through internal committees managed by our community—such as the Women’s Group, Persons with Disabilities Group, Black Persons Group, LGBTQIAPN+ Group, Parenting Group, Generations Group, and others. Joining Capco means becoming part of an organization committed to an inclusive workplace where you’re encouraged to \#BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion—in all forms—are fundamental to success. We believe everyone brings something unique—so we’d love to know what makes you different! \#LifeAtCapco Joining Capco means becoming part of an organization committed to an inclusive workplace where you’re encouraged to \#BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion—in all forms—are fundamental to success. We believe everyone brings something unique—so we’d love to know what makes you different! **NEXT STEPS:** -------------------- Capco aims to conduct a flexible process aligned with the needs of each opportunity and candidate. * Step 1: Behavioral interview. * Step 2: Technical interview. * Step 3: Conversation with Project/Delivery team. * Step 4: Client conversation. * Step 5: Offer or feedback. The selection process stages outlined above are essential to ensure a comprehensive and accurate evaluation. However, they may be adjusted depending on the candidate’s seniority, area of expertise, and project format.