Senior AI Developer

Technologies we use

Your responsibilities

• Identify repetitive or time-consuming processes and design practical AI-powered ways to improve them.
• Build, integrate and maintain AI applications, assistants, agents and advanced AI skills.
• Integrate commercial models and APIs, including OpenAI and Anthropic Claude.
• Develop, fine-tune or adapt custom models and AI components where they are the right solution.
• Create solutions using techniques such as prompt engineering, retrieval-augmented generation (RAG), tool calling and workflow orchestration.
• Build prototypes, test them with users and take successful solutions into production.
• Connect AI applications with internal systems, databases and business tools.
• Evaluate solution quality, reliability, performance and cost, and improve them over time.
• Work with colleagues across IT and business teams to understand needs and deliver solutions that fit real workflows.
• Apply appropriate privacy, security and data-handling practices, especially when working with sensitive or patient-related information.
• Document solutions and share knowledge so that they can be supported and developed further.

Our requirements

• At least 2 years of hands-on experience developing AI or machine-learning solutions.
• Practical experience building and integrating applications using AI models such as OpenAI and/or Anthropic Claude.
• Experience developing custom models, fine-tuning models or building proprietary AI components.
• Strong programming skills, particularly in Python, and experience working with APIs.
• Understanding of LLM application patterns such as RAG, embeddings, vector search, agents or tool calling.
• Experience taking AI solutions beyond experimentation, including testing, deployment, monitoring or ongoing improvement.
• Ability to understand a business problem and translate it into a clear technical solution.
• A pragmatic approach: choosing the right level of complexity and explaining trade-offs clearly.
• Good communication skills and confidence working with both technical and non-technical colleagues.
• Working proficiency in English.

What we offer

• The opportunity to build AI solutions that address real operational needs across an international clinical research organisation.
• Ownership of projects from early discovery and prototyping through implementation and improvement.
• Close collaboration with colleagues across IT and business teams.
• Room to experiment, learn and influence how AI is applied across the organisation.
• The chance to help shape a growing portfolio of practical AI tools and applications.

Benefits