AI Engineer designing and deploying enterprise - scale AI systems in the Innovation team of Client Data & Analytics platform. Driving innovation through Generative AI solutions while ensuring security and governance standards.
About the role
- AI Engineer developing advanced AI systems for financial services. Working at Lloyds Banking Group's Agentic AI lab to enhance investment experiences through AI technologies.
Responsibilities
- Inform the design and implementation of advanced AI systems – utilising market leading technology.
- Build prompts to optimise AI performance within a multi-agent framework – providing prompt lifecycle management within our ecosystem.
- Collaborate with data scientists to understand model requirements and work as a team to bring technical solutions.
- Help to deploy and monitor AI systems in production environments.
- Troubleshoot and resolve issues related to AI systems.
- Stay updated with the latest AI technologies and standards.
Requirements
- Python (Programming Language): Designs and implements Python applications, with awareness of Python’s advanced features and standard libraries.
- Prompt Engineering: Has a keen interest to develop the ability to design, test and amend complex prompts within AI systems.
- Software Engineering: Uses design patterns and standard processes to design, test and amend complex programs/scripts and integration software services.
- Google Cloud Platform: Is keen to learn fundamental skills to deploy and maintain cloud projects on GCP, or has experience within this.
Benefits
- We support flexible working – click here for more information on flexible working options
- Flexible Working Options: Hybrid Working, Job Share
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