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.

Interested candidates: Please share your updated CV along with details of relevant AI/ML projects, technical expertise and hands-on experience with Generative AI technologies.