Python Developer (AI)
Summary
Senior AI Engineer building an Agentic AI platform for a financial services client: designing, training, and governing autonomous Python-based agents, defining guardrails and evaluation frameworks, and using tools like LangChain, LangGraph, CrewAI, OpenAI, and Anthropic across Azure, AWS, or GCP. Salary up to £100,000 plus benefits.
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.