Our client is looking for an AI LLM Engineer to help build and improve AI-powered products. In this role, you will develop and integrate large language model (LLM) solutions, turning product and user needs into reliable, high-quality features.

You will work with engineering and product colleagues in a remote, international environment, contributing across the LLM development lifecycle—from experimentation and evaluation to deployment and ongoing improvement.

Your Role

• Design, develop and integrate LLM-powered features and services

• Build and maintain reliable backend components and APIs for AI applications

• Develop and refine prompts, workflows and model configurations to improve response quality

• Explore techniques such as retrieval-augmented generation (RAG), embeddings and tool use where appropriate

• Evaluate model outputs for quality, accuracy, consistency and relevance using appropriate tests and metrics

• Monitor AI features in production and investigate performance or reliability issues

• Collaborate with product, engineering and other stakeholders to define requirements and deliver solutions

• Contribute to decisions about model selection, integration approaches and system architecture

• Apply responsible AI practices, considering privacy, security, safety and potential model limitations

• Document technical decisions, workflows and evaluation results

• Keep up to date with developments in LLMs and related AI technologies, identifying opportunities to improve products

Your Qualifications

• Professional experience in software engineering, machine learning or a related technical role

• Experience building applications or services that use large language models

• Strong programming skills in Python or another relevant language

• Understanding of LLM APIs, prompt design and the strengths and limitations of generative AI models

• Experience with backend development, APIs and integrating external services

• Familiarity with evaluation methods for AI systems, including testing model outputs and tracking quality

• Understanding of data handling, privacy and security considerations when working with AI systems

• Experience with RAG, vector databases, embeddings or AI orchestration frameworks is an advantage

• Familiarity with cloud platforms, containers, CI/CD or production monitoring is an advantage

• Strong analytical and problem-solving skills, with attention to reliability and maintainability

• Clear communication skills and the ability to collaborate effectively in a remote team

• Comfortable working independently, managing priorities and adapting to a fast-changing technical landscape

• Ability to work remotely within the EMEA region

The Offer

• Remote opportunity for candidates based in the EMEA region

• Opportunity to build and improve products powered by large language models

• Collaborative work with colleagues across product and engineering

• Scope to contribute to technical decisions and the development of AI solutions