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We are currently partnering with multiple clients, ranging from innovative technology consultancies to fast-growing software organisations, who are looking for experienced AI Engineers to join their high-performing teams. This is a unique opportunity to design, build, and deploy production-grade artificial intelligence systems that solve complex, real-world business challenges at scale.
Job Responsibility
Own the end-to-end lifecycle of AI-powered features, utilising advanced frameworks such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic workflows
Translate high-level requirements into scalable, reliable technical architectures, working closely with product managers, data scientists, and software engineers to ensure seamless integration into existing product ecosystems
Champion robust MLOps and LLMOps practices, implementing rigorous monitoring, evaluation frameworks, and CI/CD pipelines to ensure your solutions remain performant, secure, and maintainable
Requirements
Professional experience in building and deploying production-grade AI/ML systems
Strong proficiency in Python and modern software engineering practices
Hands-on experience with Large Language Models (LLMs) and Generative AI
Expertise in designing and implementing RAG pipelines and agentic workflows
Proven experience with cloud platforms (AWS, GCP, or Azure) and containerisation technologies like Docker and Kubernetes
A strong understanding of MLOps/LLMOps, including model evaluation, monitoring, and observability
Experience working with vector databases and complex data processing pipelines
The ability to collaborate effectively within cross-functional teams and a product-focused mindset