AI Software Engineer

Job Description

We are looking for a highly qualified and motivated AI software engineer to join our Machine Learning & GenAI team in the Data Office. You will build a new, scalable AI platform and design, develop, and deploy AI-driven systems that deliver measurable business results.

Main tasks

• Design and development of a hybrid (on-premises/cloud-based) AI/ML platform for executing AI use cases at scale
• Definition and implementation of secure, reliable inference and training architectures
• Support for embeddings, vector databases, and AI protocols for interoperable AI workflows
• Documentation of machine learning processes, system architecture, and operational notes for reproducibility and knowledge sharing
• Collaboration in the development, fine-tuning, and optimization of models
• Implementation of evaluation frameworks for RAG and LLM systems
• Development of software for AI services and APIs
• Automation of build, test, and deployment processes
• Working with business users, product owners, business engineers, data managers, data scientists, and technology teams
• Ensuring that all AI/ML solutions comply with bank-wide data and AI policies and standards

Requirements

• Advanced studies in computer science, data science, mathematics, statistics, physics, or a related field
• Extensive knowledge of ML/AI frameworks: PyTorch or TensorFlow, the Hugging Face ecosystem
• Practical experience with LLM: prompt engineering, fine-tuning/LORA, embeddings, vector databases
• Solid programming skills in Python, R, or Java/Scala
• Previous experience deploying applications in cloud environments
• Experience in developing production-grade SPIs and APIs
• Basic knowledge of MLOps: experiment tracking, model registration, CI/CD, model monitoring

We offer

A supportive environment where your contributions are valued and recognized. A dynamic work environment where you can use your skills and knowledge to deliver measurable business results.