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
Apply Now
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
Apply Now