1 month ago
Budapest, HungarySenior
Responsibilities
- Lead the design, development, and production integration of LLM-based AI systems.
- Define infrastructure, integration, and deployment requirements for end-to-end AI solutions.
- Build LLM applications using RAG, agentic, and tool-using approaches.
- Evaluate generative AI and AI engineering ecosystem innovations for business usefulness.
- Integrate and tune vendor AI solutions within the bank’s technology environment.
- Integrate AI solutions with backend systems, data platforms, and business applications through REST APIs and event-driven architectures.
- Contribute to model-serving and AI service-layer development.
- Support monitoring, performance optimization, and stable operation of AI systems.
- Develop and deploy containerized AI components using Docker, Kubernetes, CI/CD, and MLOps practices.
- Oversee code quality, shape development standards, mentor junior colleagues, and collaborate with architecture, enablement, and development teams.
Requirements
- Several years of experience in AI engineering, ML engineering, or software development.
- Strong Python skills and experience writing production-ready, maintainable code.
- Practical experience developing or integrating applications based on large language models, especially RAG or agentic solutions.
- Experience integrating and technically tuning vendor AI solutions.
- Knowledge of REST APIs, microservice architectures, and enterprise integration patterns.
- Experience with containerization and cloud environments, including Docker or Kubernetes.
- CI/CD and MLOps mindset.
- Good communication skills and professional English proficiency.
- Preferred qualifications include LLM fine-tuning with PEFT, LoRA, or qLoRA; multi-agent systems; model-serving frameworks; MLOps and monitoring tools; GPU/CUDA environments; distributed data-processing frameworks; backend or frontend development; and an IT or related technical higher-education degree.
Benefits
- Strategically important role with meaningful influence over enterprise AI systems and engineering standards.
- Modern technology environment focused on LLMs, RAG, and agentic solutions.
- Continuous professional development and active knowledge-sharing opportunities.
- Competitive benefits package and flexible working arrangements.
- Private health insurance and support for health-fund and voluntary pension savings.
- Broad employee discounts, including mobile phone, home loan, bank account, and holiday benefits.
- Modern office environment in Budapest XIII District.
Tech Stack
Categories
About OTP Bank
OTP Bank is a Hungarian public bank that provides retail, private, and corporate banking, savings, investment funds, and auto financing to consumers and businesses. Headquartered in Budapest and founded in 1949, it anchors OTP Group’s operations across Central and Eastern Europe, serving nearly 17 million customers in more than 10 countries and running over 350 branches in Hungary. Revenue comes from deposits, lending, payments, asset management, and digital banking services.