Senior AI Engineer — Generative AI, LLMs

ph3AI Engineer /h3h3Role Overview /h3pWe are seeking an experienced strongAI Engineer /strong to design, develop, deploy, and maintain AI and machine learning solutions that deliver measurable business value. The ideal candidate will combine strong software engineering skills with practical experience in machine learning, generative AI, data, and cloud technologies. /ppThe AI Engineer will work closely with data scientists, data engineers, architects, software engineers, and business stakeholders to translate business requirements into scalable, reliable, and production-ready AI solutions. /ph3Key Responsibilities /h3ulliDesign, develop, and deploy AI and machine learning solutions for business and operational use cases. /liliDevelop production-grade AI applications using Python and modern AI/ML frameworks. /liliBuild and integrate machine learning models into enterprise applications and data platforms. /liliDevelop solutions using strongGenerative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG) /strong where appropriate. /liliDesign and implement AI-powered applications, services, APIs, and automation workflows. /liliIntegrate foundation models and AI services into enterprise technology environments. /liliDevelop and optimise prompt engineering, model orchestration, and evaluation approaches. /liliDesign and implement RAG architectures using enterprise data, vector databases, embeddings, and knowledge bases. /liliBuild data preparation, feature engineering, model training, and inference pipelines. /liliEvaluate models and AI solutions for accuracy, reliability, performance, cost, and business effectiveness. /liliImplement monitoring, observability, testing, and continuous improvement for AI systems. /liliApply responsible AI principles covering security, privacy, bias, explainability, and appropriate use of AI. /liliWork with data engineering teams to ensure AI solutions have reliable and appropriately governed data. /liliCollaborate with cloud and platform engineering teams to deploy scalable AI workloads. /liliImplement CI/CD and MLOps practices to support repeatable and reliable model deployment. /liliTroubleshoot model, application, data, performance, and integration issues. /liliKeep up to date with developments in AI, machine /li /ulpGCS is acting as an Employment Business in relation to this vacancy. /p /p