Generative AI Engineer

JR United Kingdom; Glasgow; On-site; GBP 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company as a Gen AI Engineer, where you will leverage your Python expertise to develop innovative AI solutions for the financial sector. This exciting role involves creating a generative AI chatbot and enhancing analytical solutions, all while working in a collaborative environment. Your contributions will directly impact the bank's analytical capabilities, ensuring accuracy and performance in financial tasks. If you have a passion for AI and a strong background in financial services, this is the perfect opportunity to advance your career in a dynamic setting.

Qualifications

• Deep hands-on experience in Python within financial services.
• Experience developing LLM-based applications and AI evaluation techniques.

Responsibilities

• Design and develop a generative AI chatbot for finance functions.
• Integrate the chatbot with existing financial systems for real-time insights.

Skills

Python

Generative AI

LLMs

Prompt Engineering

Data Quality Checks

Tools

pandas

numpy

LangChain

Semantic Kernel

AWS

Azure

GCP

Job description

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We are partnered with a Global Tier one bank for a Gen AI Engineer to join their team in Glasgow on a 12 month rolling contract.

The ideal candidate will need to have deep hands-on experience in Python within a financial services setting and a strong grounding in Generative AI, LLMs, and prompt engineering.

Responsibilities:

• Design and develop a generative AI chatbot tailored to core finance analytical functions (e.g. liquidity stress testing, balance sheet, positions, deposits, collateral).
• Build and enhance an agentic analysis solution for multi-step financial tasks such as variance analysis, data quality checks, and Python/pandas code generation/execution.
• Develop a robust testing framework to assess the accuracy, performance, and reliability of AI agents.
• Create and fine-tune prompt generation strategies to enhance the chatbot’s financial domain relevance and response quality.
• Maintain and scale the underlying infrastructure supporting AI deployment using the bank’s internal AI platforms.
• Integrate the chatbot with existing financial systems and databases to deliver real-time, accurate insights.

Experience:

• Hands-on development of LLM-based applications (OpenAI, Anthropic, Hugging Face, etc.).
• Strong Python programming skills, including libraries like pandas, numpy, and experience with data pipelines.
• Familiarity with frameworks such as LangChain, Semantic Kernel, or similar.
• Prior experience working with AI evaluation techniques and agent orchestration.
• Understanding of cloud AI platforms (AWS, Azure, or GCP).
• Background in TDD/Agile development in a high-compliance environment is preferred