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Madiff

GenAI Developer – Portfolio Optimisation and Customer Analytics (Banking)

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

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.

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

Originally posted on Himalayas

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

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