AI LLM Engineer - Remote in EMEA

About the Role

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, includi

Requirements & Qualifications

• Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

• Official mentor support
• verified hiring timeline
• and career progression.