Artificial Intelligence Engineer

Job Duties \& Responsibilities

• We are seeking a highly skilled Senior GEN AI Engineer to join our UK-based Artificial Intelligence team. This is a fully remote, hands-on engineering role focused on designing, developing, and scaling real-world AI solutions — taking them from concept through to production deployment. The successful candidate will work embedded within the UK team, ideally operating within UK working hours, and will play a central role in delivering high-quality AI systems across document processing, automation, and business applications.
• Design, develop, and deploy production-ready AI solutions with a strong focus on Generative AI and LLM-based applications.
• Build and optimise document extraction and processing pipelines using LLMs.
• Develop and refine prompt engineering strategies to improve output accuracy, consistency, and reliability.
• Analyse and optimise AI workflows across cost, latency, and quality trade-offs, ensuring scalable and efficient solutions.
• Develop, test, and enhance features within AI systems to improve performance and meet evolving business requirements.
• Support the end-to-end lifecycle of AI solutions, from prototype through to production deployment and monitoring.
• Collaborate closely with global teams and stakeholders to align solutions with business goals, and communicate complex technical concepts clearly to non-technical audiences.
• Contribute to rollout and implementation, ensuring models perform effectively for specific business scenarios.
• Monitor and evaluate model performance in production, identifying and acting on opportunities for continuous improvement.
• Stay current with the latest advancements in Generative AI and LLM engineering, applying new approaches where they add value.

Work Experience and Education Requirements

• Bachelor’s or master’s degree in computer science, Artificial Intelligence, Engineering, Mathematics, or a related field.
• Minimum of 5 years of experience, with a strong focus on hands-on AI/ML engineering and delivery.
• Proven track record of building, deploying, and maintaining production-grade AI/ML systems in live environments, with measurable business impact.
• Strong proficiency in Python and relevant AI/ML libraries.
• Demonstrated ability to deliver end-to-end Generative AI solutions, including working with LLMs in production; fine-tuning pre-trained models for specific use cases; designing robust prompt engineering strategies; building document processing pipelines; and evaluating outputs using structured metrics and feedback loops.
• Experience designing scalable, high-performance AI systems with a focus on cost, latency, and quality trade-offs.
• Strong working knowledge of Git and agile delivery practices.
• Excellent problem-solving skills and attention to detail.
• Experience with LLM orchestration frameworks (e.g., Langhian).
• Knowledge of MLOps practices, including CI/CD, monitoring, and model lifecycle management.
• Experience with vector databases, embeddings, and retrieval-augmented generation (RAG).
• Familiarity with document intelligence, OCR, or structured data extraction solutions.
• Experience deploying AI solutions in enterprise or client-facing environments.