Generative AI Development Traineeship [GRIT@Gov]

As a Generative AI Engineer, you will architect and deploy state-of-the-art generative AI models that transform how we create, process, and retrieve information. You will work at the intersection of large language models, content generation, and business automation, collaborating with cross-functional teams to deliver innovative solutions.

Key Responsibilities:

• Design and implement generative AI solutions that align with business requirements and use cases

• Develop and optimise large language models and generative AI architectures for text, code, and data generation

• Fine-tune and deploy foundation models while ensuring responsible AI practices and ethical considerations

• Create and maintain prompt engineering frameworks and evaluation metrics

• Build robust AI pipelines that integrate with existing systems and workflows

• Conduct experiments to improve model performance, efficiency, and output quality

• Implement safeguards and controls for AI-generated content

• Stay current with rapid developments in generative AI and implement emerging best practices

• Collaborate with stakeholders to identify opportunities for AI-driven process automation

• Degree in Computer Science, AI/ML, or related field. Advanced degree is a plus

• Strong programming skills in Python, with experience in modern AI frameworks (PyTorch, TensorFlow, Hugging Face)

• Hands-on experience with large language models (e.g., GPT family, BERT, T5)

• Understanding of transformer architectures, attention mechanisms, and prompt engineering

• Experience with model fine-tuning, few-shot learning, and prompt optimization

• Familiarity with AI deployment platforms and MLOps practices

• Knowledge of responsible AI principles and ethical considerations

• Proficiency with version control and collaborative development workflows

• Experience with API development and integration

• Strong problem-solving abilities and analytical mindset

• Excellent communication skills for technical and non-technical audiences

• Self-motivated with the ability to work independently

As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.