
Junior Business Systems AI Engineer
- Stoke-on-Trent
- Permanent
- Full-time
- 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.
- Capable in Python and JavaScript for developing AI-orientated applications.
- 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.
- Skilled in front-end technologies including HTML, CSS and JavaScript frameworks.
- 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.
- 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.
- Developing conceptual AI applications using Python, JavaScript, and cloud APIs.
- 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.