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Gen AI Solution Developer

United Kingdom, London Employment contract · Job Posted November 29, 2025
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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.

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