GenAI Developer – Portfolio Optimisation and Customer Analytics (Banking)
Madiff
4h ago
0DataUnited Stateshimalayas
GenAI-DevelopmentAI-EngineeringPython-DevelopmentBackend-DevelopmentData-ScienceLLM-EngineeringFinancial-TechnologySenior-GenAI-EngineerSenior-Gen-AI-DeveloperGenAI-DeveloperSenior-Generative-AI-DeveloperMid-level
Job Description
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.
ResponsibilitiesDesign and implement LangChain and LangGraph based workflowsBuild Python services exposing GenAI capabilities via secure APIsIntegrate GenAI components with optimisation and customer analytics modelsGenerate structured insights, summaries, comparisons, and scenario narrativesDesign and improve prompt strategies and multi step reasoning chainsImplement evaluation, validation, and quality control mechanismsCollaborate closely with analytics and strategy stakeholdersSupport deployment and continuous improvement of GenAI services in production
RequirementsStrong hands on Python experience in backend or AI driven systemsCommercial experience building LLM based or GenAI solutionsPractical knowledge of LangChain and LangGraphExperience with FastAPI or Flask and REST API designUnderstanding of RAG architectures and vector search mechanismsExperience integrating GenAI with analytical or optimisation systemsStrong communication skills and ability to translate business needs into technical workflowsFluent English for professional collaborationNice to haveExperience in banking, pricing, portfolio optimisation, or customer analyticsExposure to evaluation frameworks for LLM outputsExperience working with large scale analytical data platformsBackground in distributed or microservices architectures
BenefitsSolid, competitive salaryWork in a multinational environment on international projectsComprehensive healthcareLong-term B2B contract with a stable project pipelineRemote work model
Originally posted on Himalayas
