Artificial Intelligence Engineer

Our vision

Davies is a community of outstanding people. We welcome different perspectives, support each other’s ambitions and grow together. In a fast-changing business environment, we adapt and look ahead.

We succeed because we are multi-talented: in the skills of our teams, specialisms, and sector expertise. Working together, we are greater than the sum of our parts.

Why work for Davies

Davies are committed to being a diverse and inclusive workplace. We welcome candidates of all genders, gender identity and expression, neurodiversity, sexual orientation, disability, physical appearance, body size, race, age, nationality, and belief (or lack thereof). Davies benefits and employee policies are ever-evolving. Currently some of our highlights include:

• Reward platform – discounts for over 800 retailers
• 25 days holiday (rising with service)
• EAP with virtual GP
• 2 x paid volunteering days
• Enhanced maternity and paternity leave policies
• Fostering friendly and fertility support employer
• Pension - matched contribution up to 5%
• Life Assurance (4 x basic salary)
• Development, training, and professional qualifications where applicable

The role

Reporting into a Lead Developer, the AI Engineer will be responsible for implementing AI solutions for a varying range of clients. If successful, you will join a multidisciplinary team helping to shape our AI strategy, showcasing the potential for AI and getting key stakeholder buy in.

In this dynamic role, you will have the opportunity to work with a great team, often in an agile environment, contributing new ideas to drive continuous improvement, and a positive culture.

Key responsibilities

• Develop high-quality AI solutions in accordance with established standards.
• Collaborate with delivery teams and stakeholders to plan, design, and architect upcoming projects.
• Manage tasks effectively, providing accurate estimates and tracking progress while reporting any encountered issues.
• Create robust solutions utilizing the latest AI technologies, including LLMs, Generative AI, and machine learning.
• Maintain awareness of overall AI standards, such as prompt engineering.
• Enforce quality standards through peer reviews and team retrospectives.
• Participate in agile ceremonies and drive continuous improvement within the development team.
• Define configuration specifications, architecture, and requirements.
• Create and maintain detailed technical documentation on processes, workflows, and technologies used in solution development.
• Engage in knowledge-sharing with team members to foster collective learning and expertise within the team.

Key skills and required experience

• Proven commercial experience in developing AI solutions.
• Proficiency in Natural Language Processing, computer vision, or other AI subfields.
• Experience with Large Language Models (LLMs), including principles such as prompt engineering.
• Strong background in data science.
• Familiarity with tools such as Databricks and Jupyter Notebooks.
• Experience with cloud AI services (Azure, AWS, or GCP).
• Solid understanding of Python programming.
• Proficient in GIT source control.
• Ability to work independently with minimal supervision, as well as collaboratively within a team.
• Strong analytical and problem-solving skills, with a logical and structured approach to documentation and processes.
• An understanding of working in an agile environment (in particular, SCRUM), beneficial.
• A willingness to sporadically travel to various Davies UK/US sites or client locations.
• Experience with one or more of the following technologies: Semantic Kernel, .NET, Azure DevOps, GitHub, Azure Document Intelligence or Azure Machine Learning, and LangChain, LangFuse, or LangServe

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