AI Engineer - Job Description Roles & Responsibilities Design and develop AI models and algorithms from the ground up. Design, test, and refine prompts for Large Language Models (LLMs) to optimise performance across diverse use cases, aligning with business goals and user needs. Implement AI solutions that integrate seamlessly with existing business systems to improve functionality and user experience. Manage data pipelines and flows to ensure effective AI deployment. Collaborate cross-functionally to align AI initiatives with strategic organisational objectives. Participate in functional and process design including scenario design, flow mapping, prototyping, testing, training, and support documentation. Document solutions and lessons learned from each AI initiative or prototype. Lead and manage teams in conducting market and competitor analysis in the AI and automation space. Work closely with stakeholders and product teams to gather feedback and refine solutions based on performance and user interaction. Handle large-scale data sets for statistical modeling, data mining, and recommendation systems. Write production-grade code and ensure best practices in software development. Develop, fine-tune, and customise LLMs for specific business applications. Research and develop state-of-the-art AI technologies. Build and deploy scalable AI software systems. Collaborate with development teams to ensure seamless integration of AI applications into deployment pipelines. Provide post-deployment support and optimisation for AI solutions. Adhere to established development and support procedures. Skills & Experience Technical Skills: Strong foundation in computer science fundamentals including algorithms, data structures, and complexity analysis. Proven experience deploying applications on Kubernetes in cloud environments (AWS, Azure, GCP) using Helm charts and Docker Compose. Proficient in machine learning, deep learning, natural language processing (NLP), and computer vision. Experience designing and implementing MLOps pipelines with monitoring and observability. Familiarity with AI frameworks such as TensorFlow and PyTorch. 3-5 years of hands-on experience applying AI to practical, scalable technology solutions. Skilled in programming with Python and building/managing ML pipelines. Experience with REST API development, NoSQL and RDBMS database design and optimisation. Understanding of object-oriented and functional design principles, with knowledge of best-practice architectural patterns. Exposure to AWS/Azure DevOps tools and processes. Non-Technical Skills: Excellent problem-solving skills and ability to thrive in a collaborative, team-oriented environment. Strong business acumen with a keen eye for detail. Effective communicator, capable of explaining complex technical concepts to non-technical stakeholders. Self-motivated and enthusiastic, with a proactive approach to team contribution and goal setting. Analytical mindset, capable of identifying user challenges and proposing creative, effective AI-driven solutions. Skills: AI LLM Python Kubernetes Deep learning