Gen AI Solution Developer, Citi

Citi

Location:
United Kingdom, London

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

The Markets Intelligence team focuses on developing commercial insights from internal & external data sets, deploying data science capabilities across Markets. Projects are based on novel ideas or existing manual processes, aiming for scalability and automation using ML/NLP/LLM. The Gen AI Solution Developer will design, develop, and refine chatbot solutions for Sales Organization. Key technologies include RAG pipelines, agentic frameworks, and integrations with structured/unstructured back-end systems.

Job Responsibility:

Collaborate cross-functionally with diverse teams including Sales, Trading, Market Quantitative Analysis (MQA), and Technology to design, develop, deploy, and manage the full lifecycle of Generative AI chatbot solutions
Design and implement chatbot flows, scripts, and user interactions across platforms (e.g., internal messaging apps)
Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines using embedding models, vector databases, and context management techniques
Build and utilize agentic frameworks that enable multi-step reasoning, planning, and tool orchestration for end-to-end AI workflows
Integrate chatbots and AI pipelines with a variety of data sources, including structured (SQL, APIs, CRMs) and unstructured (text, PDFs) back-end systems
Use data analysis to create better models of human behavior and other complex systems
Stay current with the evolving Gen AI ecosystem, including AI/ML trends and best practices in conversational design and automation.

Requirements:

Advanced expertise in machine learning, deep learning, and artificial intelligence, with a proven track record of developing complex AI-driven solutions
Strong proficiency in Python, preferred experience in web frameworks like FastAPI or Flask
Proven experience building or designing chatbots (a portfolio or links to examples are highly encouraged)
Demonstrated ability to effectively communicate and collaborate with technical and non-technical stakeholders (e.g., Sales, Trading, MQA)
Markets experience highly preferred
Deep familiarity with prompt engineering, context window optimization, and evaluation frameworks
Good understanding of agentic architectures, including planning, reasoning, and multi-agent collaboration, preferred knowledge in LangChain, LangGraph etc.
Experience integrating chatbots or AI systems into CRM systems, websites, or mobile applications
Knowledge of AI/ML pipelines or data labeling processes
Experience in Data Analytics and its distribution via Chatbots.

Nice to have:

Familiarity with LangChain or LangGraph
Markets experience.

Additional Information:

Job Posted:
November 29, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Gen AI Solution Developer