AI Engineer – Generative AI / Machine Learning

We are looking for a skilled AI Engineer with experience in Python, Machine Learning and Generative AI to support research and development initiatives. The candidate will be responsible for designing, developing, testing and integrating AI-powered applications, models and prototypes. The ideal candidate should have strong programming skills in Python, a sound understanding of Machine Learning and Generative AI concepts, and hands-on experience in at least one of the following areas: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents or Multimodal AI. Key Responsibilities • Collaborate with research teams to understand requirements and translate research objectives into practical AI solutions. • Assess AI feasibility, data requirements, technical approaches and implementation risks. • Design and develop AI applications, models and prototypes using Python or equivalent programming languages. • Develop, test and validate Machine Learning and Generative AI models using relevant datasets. • Optimise model accuracy, reliability, processing performance and overall effectiveness. • Integrate AI applications with APIs, databases, sensors, software platforms and external systems. • Develop reusable AI components, frameworks and model evaluation practices. • Maintain source code, datasets, models and technical documentation. • Ensure reproducibility, security, data privacy and responsible AI practices. Technical Skills & Qualifications Essential Requirements: • Strong programming skills in Python or a comparable programming language. • Good understanding of Machine Learning, Deep Learning and Generative AI concepts. • Hands-on experience in at least one of the following: • Large Language Models (LLMs) • Retrieval-Augmented Generation (RAG) • AI Agents / Agentic AI • Multimodal AI • Working knowledge of REST APIs, databases, data pipelines and system integration. • Experience with software engineering practices, testing, version control and technical documentation. • Practical experience with Linux, Docker and Git/GitHub. Preferred Qualifications: • Bachelor's degree or higher in Computer Science, Artificial Intelligence, Data Science, Electrical & Electronic Engineering or a related discipline. • Approximately 3 years of professional experience in AI, Machine Learning, Data Science or software development. • Experience in quantitative AI model evaluation, validation and performance optimisation. • Knowledge of system architecture and application integration. • Basic networking knowledge. • Experience in image and video analysis applications. • Familiarity with open-source AI frameworks and libraries such as LangChain, LangGraph, LlamaIndex and Hugging Face. Required Soft Skills • Ability to understand research requirements and translate them into technical solutions. • Strong verbal and written English communication skills. • Ability to explain complex AI concepts to non-technical stakeholders. • Strong analytical thinking, independent problem-solving and teamwork abilities. • Curiosity and adaptability to work with emerging AI technologies and evolving research requirements. #J-18808-Ljbffr