GenAI Developer – Portfolio Optimisation and Customer Analytics (Banking)
Location not identified
- Pay
- Pay not listed
- Work setting
RemoteLocation limits apply — work setting source
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.
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign 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
From the employer’s posting
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
What you’ll bring
All qualificationsCore experience
- 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
Qualification wording
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
Tools in this posting
- Python
- FastAPI
- Flask
Source — Tool mentions in context
- 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
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
Benefits in the posting
Full benefits wording- Comprehensive healthcare
- Remote work model
From the employer’s posting.
Posting record
Report an errorOpen 4 monthsWe first saw this posting 148 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 3, 2026 · 148 days ago
- Recorded sightings
- 194
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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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
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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Location not supplied.
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.
More source context
- Long-term B2B contract with a stable project pipeline - Remote work model
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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