Python Developer (AI)

Areti Group | B Corp™; England; On-site; GBP 60,000 - 100,000; Full time

Job summary

Areti Group, a forward‑looking leader in financial services technology, seeks a Senior AI Engineer (Python & Agentic AI) to build and govern an autonomous AI platform. You will design Python‑driven AI systems, train agents, and implement safety, governance, and evaluation frameworks to ensure responsible deployment.

This role demands deep AI and software engineering expertise and a drive to innovate within a regulated environment.

Qualifications

• Strong Python-focused experience as Python/AI engineer or data scientist.
• Hands-on AI agent development within 6–12 months.
• Experience building, training and managing AI agents and workflows.
• In-depth prompt engineering and AI governance knowledge.
• Experience implementing safety controls around AI systems.
• Strong software engineering fundamentals and clean coding practices.
• Familiarity with LangChain, LangGraph, CrewAI, AutoGen, OpenAI or similar.
• Exposure to MLOps/LLMOps, model evaluation, and deployment.

Responsibilities

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

Skills

Python

AI Engineer

Data Science

Agentic AI

Governance

Prompt engineering

Software engineering

Cloud (Azure/AWS/GCP)

Tools

LangChain

LangGraph

CrewAI

AutoGen

OpenAI

Anthropic

Job description

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.