Artificial Intelligence Engineer

AI Engineer Location: London, UK (Hybrid – 3 Days Onsite) Contract: 12 Months Work Mode: Hybrid (3 days per week from the client's Central London office) About the Role We are looking for an experienced AI Engineer with a strong background in Generative AI, Large Language Models (LLMs), and MLOps to join a leading client in London. You will design, build, and deploy scalable AI solutions using modern GenAI frameworks and cloud technologies while collaborating with cross-functional teams to solve complex business problems. Key Responsibilities • Design, develop, and deploy AI/ML and Generative AI applications. • Build and optimize LLM-powered applications using RAG architectures and vector databases. • Develop AI agents and intelligent automation solutions. • Build scalable APIs using FastAPI or similar frameworks. • Develop and maintain MLOps pipelines, CI/CD workflows, and model deployment processes. • Work with large datasets using SQL, Spark, and cloud-native platforms. • Collaborate with Data Engineers, Software Engineers, Product Managers, and UI/UX teams. • Translate business requirements into AI-driven solutions. • Monitor and optimize production AI models and services. • Present technical findings to both technical and business stakeholders. Required Skills & Experience • 8+ years of experience in AI/ML, MLOps, Data Engineering, or Software Engineering. • Strong experience with Generative AI and Large Language Models (LLMs). • Excellent Python programming skills. • Experience with FastAPI, LangChain, LlamaIndex, or similar frameworks. • Hands-on experience with: • Retrieval-Augmented Generation (RAG) • Embeddings • Vector Databases • Foundation Models • Agentic AI • Model Context Protocol (MCP) • Experience with OpenAI, Claude, Gemini, or similar LLM APIs. • Strong knowledge of SQL and distributed data platforms (Spark). • Experience with AWS, GCP, or hybrid cloud environments. • Experience with Docker, Kubernetes, Git, CI/CD, and MLOps best practices. • Excellent communication and stakeholder management skills. • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Nice to Have • Sales analytics or commercial AI experience. • Revenue forecasting models. • Anomaly detection. • Causal inference. • Knowledge graphs. • Redis, RabbitMQ, or Valkey. • Master's or PhD in a relevant discipline. Mandatory Requirement • Able to work 3 days per week onsite from the client's office in Central London.