Senior AI/ML Engineer

• Design, develop, and implement Generative AI solutions that address business and analytical use cases
• Build scalable, API-driven applications integrating Large Language Models using cloud-based services
• Apply prompt engineering techniques to optimise LLM performance, accuracy, and relevance
• Implement and manage LLM orchestration frameworks and vector databases to support advanced GenAI workflows
• Conduct rapid experimentation and evaluation of new GenAI models, tools, and capabilities
• Develop, maintain, and optimise data pipelines supporting structured and unstructured data for AI solutions
• Collaborate with GenAI leads, product owners, and cross-functional teams to deliver requirements from the product backlog
• Translate complex business problems into robust technical GenAI solutions
• Monitor, debug, and resolve issues across AI models, data pipelines, and application layers
• Leverage cloud platforms such as Azure, AWS, or GCP for storage, compute, serverless processing, and AI services
• Ensure AI solutions meet performance, scalability, security, and reliability standards
• Contribute to architecture decisions, best practices, and continuous improvement initiatives
• Document solution designs, implementation approaches, and operational procedures
• Stay current with emerging trends, tools, and advancements in Generative AI and data engineering

Requirements

• 3+ years of hands-on experience in data analytics, data engineering, or modern software development roles
• Strong background in AI/ML with a focus on Generative AI solutions
• Proficiency in programming languages such as Python, PySpark, or Java
• Experience integrating Large Language Models via APIs and building scalable AI-driven systems
• Hands-on experience with vector databases and LLM orchestration frameworks
• Solid understanding of prompt engineering and model optimisation techniques
• Experience building and maintaining data pipelines and ETL processes
• Exposure to cloud-native services on Azure, AWS, or GCP
• Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field