Python Developer / Generative AI Hybrid - Glasgow
12 Month Rolling Contract
This is a very high-profile project within a global financial institution, marking Finance Tech's main AI initiative. We are seeking two expert Python Application Developers for an AI Chatbot that has been created and is slated for widespread rollout across all teams within the organization.
As a Python Developer / Generative AI, you will be instrumental in designing and developing a generative AI-driven chatbot specifically tailored for core finance analytical functions. This role is ideal for individuals with deep hands-on Python expertise in a financial services environment, who are eager to work on a cutting-edge project without needing a machine learning background, but with strong experience in calling AI APIs.
Design and develop a generative AI-driven chatbot to effectively handle user queries related to a wide range of finance topics (e.g., liquidity stress testing, balance sheet, collateral management, deposits, positions).
Develop and enhance an agentic analysis solution capable of performing multi-step financial analysis and processing, including data querying, variance analysis, data quality analysis, and Python/Pandas code generation and execution.
Enable the chatbot to request and pull data, perform calculations, and create visual representations like pie charts to demonstrate data effectively.
Develop and refine a robust testing framework using industry-standard testing frameworks to assess the performance of AI agents for financial analysis.
Create, test, and fine-tune prompt-generation strategies to improve the performance of large language models, enhancing the chatbot's accuracy and relevance in financial contexts.
Develop and maintain the underlying infrastructure necessary for deploying and scaling the chatbot, building on the firm’s existing AI infrastructure and services, and ensuring it meets performance and security requirements.
Integrate the chatbot with existing financial systems and databases to provide real-time insights and accurate information to users.
Deep hands-on expertise in Python in a financial services environment.
Proven experience in making AI calls (calling an API and understanding input data requirements).
Ability to design and develop solutions for data querying, calculations, and visual data representation (e.g., Experience in developing and refining testing frameworks for AI agents.
Proficiency in Perl, Bash, Unix, and Linux.
Familiarity with industry-standard testing frameworks.