We are currently supporting a leading Investment Manager who is looking to engage an AI Engineer with strong Python and machine learning engineering experience on an initial 2–3 month contract .

This role will focus on designing and implementing AI-driven agent workflows to support internal reporting and analytical use cases within an asset management environment. The successful candidate will have strong experience building multi-agent systems, deploying models in Azure environments, and monitoring AI workflows in production .

1. Design and develop AI agent workflows and automation solutions using Python
2. Build and maintain multi-agent architectures for complex analytical and reporting tasks
3. Develop solutions using Azure-based AI and data services
4. Implement monitoring and evaluation frameworks for agent workflows
5. Integrate human-in-the-loop processes within agent-based systems
6. Collaborate with internal teams to support AI-driven reporting and data insights

1. Advanced Python programming and strong software engineering fundamentals
2. Experience in machine learning engineering and AI system development
3. Hands-on experience with Microsoft Azure cloud technologies , including:
4. Azure Machine Learning
5. Azure SQL
6. Azure CosmosDB
7. Experience working with GitLab for version control and CI/CD
8. Expertise building multi-agent workflows , ideally using frameworks such as LangGraph
9. Experience evaluating and monitoring ML/agent workflows using tools such as MLflow
10. Practical experience developing agent-based systems with human-in-the-loop workflows

1. Experience working on reporting or data automation use cases
2. Prior exposure to asset management or financial services environments