GenAI Developer – Portfolio Optimisation and Customer Analytics (Banking)

This is a remote position.

We are looking for a GenAI Developer to join an enterprise analytics and optimisation platform within the banking domain. The role focuses on building agent based GenAI systems that transform portfolio optimisation and customer analytics outputs into structured insights, narratives, and decision support for business and strategy teams. The platform combines large scale analytical models with LangChain and LangGraph based orchestration layers that perform multi step reasoning over model outputs, historical data, and contextual information. The system is live in production and continuously expanded with new GenAI driven insight capabilities. Responsibilities

• Design and implement LangChain and LangGraph based workflows
• Build Python services exposing GenAI capabilities via secure APIs
• Integrate GenAI components with optimisation and customer analytics models
• Generate structured insights, summaries, comparisons, and scenario narratives
• Design and improve prompt strategies and multi step reasoning chains
• Implement evaluation, validation, and quality control mechanisms
• Collaborate closely with analytics and strategy stakeholders
• Support deployment and continuous improvement of GenAI services in production

Requirements

• Strong hands on Python experience in backend or AI driven systems
• Commercial experience building LLM based or GenAI solutions
• Practical knowledge of LangChain and LangGraph
• Experience with FastAPI or Flask and REST API design
• Understanding of RAG architectures and vector search mechanisms
• Experience integrating GenAI with analytical or optimisation systems
• Strong communication skills and ability to translate business needs into technical workflows
• Fluent English for professional collaboration

Nice to have

• Experience in banking, pricing, portfolio optimisation, or customer analytics
• Exposure to evaluation frameworks for LLM outputs
• Experience working with large scale analytical data platforms
• Background in distributed or microservices architectures

Benefits

• Solid, competitive salary
• Work in a multinational environment on international projects
• Comprehensive healthcare
• Long-term B2B contract with a stable project pipeline
• Remote work model