Junior Business Systems AI Engineer (Stoke)

Overview

A Junior Business Systems AI Engineer, who will assist in the end-to-end development of diverse AI applications and systems from identified use case requirements.

The Business Systems Solutions department is focused on delivering systems and solutions to the Business. The team utilises various technologies to provide custom-built solutions and implement third-party products and services. We support processes in driving effectiveness, efficiency, scalability and sustainability.

You will work closely with stakeholders from across the wider business to ensure value-driven integration of AI systems and practices, utilising Prompt Engineering, hosting feedback and workshop sessions and creating support tutorial documentation.

This role encompasses technical AI expertise and effective communication, with a required passion for both to bring this role to life.

This role is eligible for inclusion in the Company’s hybrid working from home policy.

Qualifications

• Bachelors or Masters degree in Computer Science, IT, Engineering, AI, or in a related field or relevant professional experience.
• Demonstrated experience in developing innovative AI solutions.
• Familiar with advanced Prompt Engineering techniques and practices to validate and expand on LLM use cases, both for user-facing and backend applications, whilst effectively utilising structured outputs and vision techniques.
• Comprehensive understanding of Software Development Lifecycle (SDLC) methodologies.
• Familiar with Cloud-based AI tools and services including Azure and Google Cloud.
• Exceptional understanding of Generative AI principals with the ability to articulate complex concepts in a concise and impact-orientated manner.
• Knowledgeable of Machine Learning and Natural Language Processing topics, including Large Language Models and Vector Indexing.
• Certifications including Azure AI Engineer Associate, AWS Certified AI Practitioner, or similar.

Responsibilities

• Supporting the end-to-end development of AI models and solutions, seeking and identifying opportunities to enhance Business operations and efficiencies through AI capabilities.
• Developing and enhance Retrieval Augmented Generation capabilities within our portfolio of AI applications.
• Formulating use cases in chatbot-style AI applications via innovative prompt engineering.
• Collaborating with wider development and testing teams to effectively integrate AI solutions and features into pre-existing Business applications.
• Translating strategic visions into functional proof-of-concept AI applications and systems.
• Staying up to date of AI advancements and features of third-party products.
• Creating, maintaining and updating technical documentation related to AI solutions and best practices for interaction and use of these systems.
• Assisting in establishing and maintaining responsible AI policy and best practices and establishing a systematic process for reporting and tracking bugs within Language Model solutions.
• Be willing to learn and contribute in any of the other technology stacks the team uses like .NET and React.

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Job function: Information Technology. Industries: Gambling Facilities and Casinos.

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