Description

You will drive innovation by architecting and deploying enterprise-grade GenAI solutions that transform asset management workflows, combining hands-on engineering with technical leadership.

Requirements

• •University degree in relevant field
• •10+ years full-stack development experience
• •3+ years GenAI and ML experience
• •Preferred Investment Banking or Asset Management experience
• •3+ years agile development experience
• •Proficiency in Python and ML frameworks
• •Experience with LLMs and RAG architectures
• •Expertise in modern web development
• •Experience with vector databases
• •Knowledge of containerization and cloud-native engineering
• •Familiarity with relational databases
• •Experience with DevOps and Agile toolchains
• •Ability to build automated tests
• •Understanding of component-based architecture
• •Excellent interpersonal and English communication skills
• •Ability to translate business requirements
• •Analytical and problem-solving orientation
• •Ability to explain technical topics
• •Strong organizational and prioritization skills

Tasks

• •Lead the architecture of scalable GenAI and ML applications
• •Develop full-stack AI solutions for Asset Management operations
• •Build data pipelines and retrieval workflows for RAG systems
• •Create evaluation frameworks for Large Language Models
• •Define technical standards for AI security and performance
• •Integrate AI components with enterprise platforms and processes
• •Validate prototypes and industrialize AI solutions for production
• •Mentor engineering teams through design reviews and pair-programming
• •Establish best practices for AI observability and optimization
• •Collaborate with product owners on solution design and architecture
• •Implement responsible AI principles and governance standards
• •Ensure compliance with data protection and operational integrity requirements

Tools & Technologies

Benefits