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About Us

Kyriba is a global leader in liquidity performance that empowers CFOs, Treasurers and IT leaders to connect, protect, forecast and optimize their liquidity. As a secure and scalable SaaS solution, Kyriba brings intelligence and financial automation that enables companies and banks of all sizes to improve their financial performance and increase operational efficiency. Kyriba’s real-time data and AI-empowered tools empower its 3,000 customers worldwide to quantify exposures, project cash and liquidity, and take action to protect balance sheets, income statements and cash flows. Kyriba manages more than 3.5 billion bank transactions and $15 trillion in payments annually and gives customers complete visibility and actionability, so they can optimize and fully harness liquidity across the enterprise and outperform their business strategy. For more information, visit www.kyriba.com.

K yriba is the global leader in cloud-based Enterprise Liquidity Management management solutions, delivering Software-as-a-Service (SaaS) financial technology to corporate CFOs and Treasurers. More than 2,600 global organizations (including Spotify, Ripple, Adecco, Auchan, Adobe, EuropCar, Eurostar International, Expedia, Electronic Arts, and Takeda) use Kyriba to enhance their global cash visibility, improve financial controls, and increase productivity across their cash and liquidity, payments, supply chain finance and risk management operations.

One of our team missions is to create innovative, scalable, and impactful AI solutions to extend the Kyriba Platform functionality and fulfill growing customer needs and expectations. So we are seeking a motivated and enthusiastic Software Engineer to join our growing Data Platform development team and help us push the boundaries of AI by designing, developing, and optimizing autonomous AI agents. 

As a Senior AI Agent Developer, you will play a critical role in architecting and implementing AI agent systems, leveraging state-of-the-art technologies in Large Language Models, natural language processing, and machine learning. You’ll collaborate with cross-functional teams, including software engineers, product managers, and data scientists, to deploy and iterate on scalable AI solutions.

The perfect candidate doesn’t need to fulfill all the requirements listed below, we are looking for talented colleagues who are willing to learn, motivated, and brave enough to challenge complex problem-solving.

Keywords: AI, GenAI, AI agent, LLM, Data, Python, Databricks, Mosaic AI, SQL.

Position Type: Senior

Location: Poland, Remote

Key responsibilities:

• Lead the design, prototyping, and development of scalable and efficient production-ready AI systems.

• Design, develop, and maintain AI-driven agents using state-of-the-art AI algorithms and advanced machine learning techniques.

• Gather the data and maintain the Vector Store for RAG.

• Collaborate with cross-functional teams to define agent requirements, performance metrics, and deliverables.

• Optimize models and algorithms for real-time decision-making and relevant responses.

• Assist in integrating, deploying, and troubleshooting applications in development, testing, and production environments.

• Mentor junior developers and foster best practices in AI development, including code quality and testing.

• Stay up-to-date with the latest advancements in AI and incorporate relevant innovations into the development process. Continuously improve your skills and knowledge of software development tools, techniques, and methodologies.

Requirements:

• Experience in AI/ML development with successfully implemented LLM, RAG-based, or Natural Language Processing projects.

• Comprehensive knowledge of modern Python programming; Java and Spring experience is a big plus.

• Practical skills in retrieving and storing data from structured and unstructured sources (text documents, database, API, etc).

• Familiarity with Databricks, PySpark, SQL, Pandas, MLFlow.

• Knowledge of algorithms and data structures, particularly in the context of real-time and autonomous decision-making.

• Experience in designing and deploying production-grade AI models and familiarity with MLOps practices. Solid understanding and practical skills in testing, packaging, and deploying production-grade applications (CICD, Kubernetes, Docker, Helm, AWS).

• Strong problem-solving skills, engineering mindset, and courage to introduce AI agents to solve fintech challenges.

• Intermediate (at least) English level with excellent verbal and written communication skills. An ability to work collaboratively and convey complex AI concepts and findings to non-technical stakeholders.

Why to join us:

• Be part of a team that’s pushing the boundaries of AI technology.

• Work in a collaborative, dynamic, and fast-paced environment.

• Practical experience within an international SaaS provider leveraging public cloud solutions

• Ongoing professional development and access to industry-leading tools and resources.

• Networking opportunities within the organization