Senior AI Agent Developer

December 21, 2024

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Kyriba

WebsiteLinkedInAll Job Openings

SaaS • Risk Management • Cash Management • Payments • Liquidity Management

501 - 1000 employees

Founded 2000

💳 Fintech

🏢 Enterprise

💸 Finance

Description

• 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.

Benefits

• Ongoing professional development • Access to industry-leading tools and resources • Networking opportunities within the organization