Python Developer (AI)

Senior AI Engineer (Python & Agentic AI)

Salary: Up to £100,000 + Benefits

About the Role

Our client, a leading financial services organisation, is investing heavily in the future of AI and intelligent automation. They are looking for a highly motivated Senior AI Engineer to join a growing Data & AI team focused on building an advanced Agentic AI Platform.

This is a unique opportunity to work at the forefront of AI innovation, developing and training autonomous agents capable of generating, testing, and deploying code within a controlled and governed environment

You’ll play a key role in shaping how AI is safely integrated into critical business functions, creating the guardrails, rules, and frameworks that ensure agentic systems operate effectively, responsibly, and securely.

Key Responsibilities

• Design, develop, and optimise AI-driven solutions using Python.
• Build, train, and manage Agentic AI systems capable of autonomous task execution.
• Define and implement governance frameworks, guardrails, prompts, boundaries, and decision-making rules for AI agents.
• Work closely with data, engineering, and business stakeholders to identify opportunities for AI-driven automation.
• Improve agent performance through continuous training, testing, monitoring, and refinement.
• Develop robust evaluation methodologies to ensure safe and reliable AI behaviour.
• Contribute to the overall AI strategy and help shape the evolution of the firm's Agentic AI capabilities.
• Stay current with emerging developments across Generative AI, LLMs, AI Agents, and related technologies.

Skills & Experience Required

• Strong commercial experience as a Python Engineer, AI Engineer, or Data Scientist with a heavy Python focus.
• Recent hands‑on experience working with AI technologies within the last 6-12 months.
• Experience building, training, orchestrating, or managing AI agents and agentic workflows.
• Strong understanding of prompt engineering, agent behaviour management, and AI governance principles.
• Experience implementing controls, rules, parameters, and safety mechanisms around AI systems.
• Excellent software engineering fundamentals and coding best practices.
• Strong problem‑solving and analytical abilities.
• Experience with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, OpenAI, Anthropic, or similar agentic platforms.
• Exposure to MLOps, LLMOps, model evaluation, and deployment practices.
• Experience within Financial Services, Banking, Investment Management, or highly regulated environments.
• Cloud experience across Azure, AWS, or GCP.