AI Engineer – Generative AI / Machine Learning

We are seeking a talented AI Engineer with hands-on experience in Python, Machine Learning, and Generative AI to help drive our research and development efforts. In this role, you will design, build, test, and integrate AI-powered applications, models, and prototypes to support ongoing innovation.

The successful candidate will bring strong Python programming capability, a solid grasp of Machine Learning and Generative AI fundamentals, and proven, practical experience in at least one of the following domains: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents or Multimodal AI.

Key Responsibilities

• Partner with research teams to understand requirements and convert research goals into practical AI solutions.
• Evaluate AI feasibility, data needs, technical strategies, and implementation risks.
• Create and deliver AI applications, models, and prototypes using Python or comparable programming languages.
• Build, assess, and validate Machine Learning and Generative AI models with appropriate datasets.
• Tune for improved model accuracy, reliability, processing performance, and overall effectiveness.
• Integrate AI applications with APIs, databases, sensors, software platforms, and external systems.
• Produce reusable AI components, frameworks, and model evaluation methodologies.
• Keep source code, datasets, models, and technical documentation up to date.
• Support 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 interpret research requirements and convert them into technical solutions.
• Strong verbal and written English communication skills.
• Ability to communicate complex AI concepts to non-technical stakeholders.
• Strong analytical thinking, independent problem-solving, and teamwork skills.
• Curiosity and adaptability to work with emerging AI technologies and changing research needs.

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.