
Fintech • Enterprise • Finance
Kyriba is a leading provider of financial technology solutions that offer secure, AI-powered data integration and liquidity management services for enterprises. The platform seamlessly connects ERPs, banks, and apps to provide real-time cash visibility, enhance operational efficiency, and support all aspects of enterprise liquidity management. Kyriba's offerings include real-time treasury management, risk management, payments, and connectivity solutions. The solutions are tailored for finance professionals and address complex liquidity challenges through advanced data automation and integration capabilities, supporting industries such as finance, technology, retail, manufacturing, and insurance. Kyriba's mission is to improve financial health and resilience by optimizing liquidity performance and strategic financial decision-making for organizations of various sizes.
November 15

Fintech • Enterprise • Finance
Kyriba is a leading provider of financial technology solutions that offer secure, AI-powered data integration and liquidity management services for enterprises. The platform seamlessly connects ERPs, banks, and apps to provide real-time cash visibility, enhance operational efficiency, and support all aspects of enterprise liquidity management. Kyriba's offerings include real-time treasury management, risk management, payments, and connectivity solutions. The solutions are tailored for finance professionals and address complex liquidity challenges through advanced data automation and integration capabilities, supporting industries such as finance, technology, retail, manufacturing, and insurance. Kyriba's mission is to improve financial health and resilience by optimizing liquidity performance and strategic financial decision-making for organizations of various sizes.
• Proactively assist in the design, development, and testing of production-ready AI agent systems for financial applications • Work closely with senior team members to implement, evaluate, and optimize AI agents • Support data extraction, preparation, and feature engineering • Contribute to the development of evaluation frameworks to assess agent performance • Collaborate with cross-functional teams to define agent requirements and deliverables • Participate in code reviews, unit testing, and documentation • Stay updated on the latest research and developments in LLMs and agentic frameworks
• 3+ years of hands-on experience in data science or applied machine learning • Master's degree (or equivalent) in Computer Science, Data Science, Machine Learning, Statistics, or related field • Strong programming skills in Python with knowledge of software engineering best practices • Hands-on experience with LLMs and modern AI frameworks • Solid understanding of NLP concepts • Knowledge of RAG systems • Strong foundation in classical ML • Familiarity with data platforms like Databricks is a plus • Excellent analytical, problem-solving, and communication skills • Courage to innovate and introduce AI agents to solve complex fintech challenges • Collaborative team player comfortable working in an agile environment
• Professional development • Opportunity to work on innovative AI solutions • Positive and collaborative work environment
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