About the role
Responsibilities:
- Design, test, and optimise LLM-driven solutions for real business use cases.
- Create, refine, and manage high-quality prompts, workflows, and agent setups.
- Rapidly prototype GenAI applications using existing tools, APIs, and platforms.
- Evaluate LLM outputs for accuracy, bias, safety, and reliability.
- Stay current with new LLM models, tools, and GenAI trends, and apply them pragmatically.
- Collaborate with business and technical teams to translate ideas into working AI solutions.
- Continuously improve the performance, efficiency, and cost-effectiveness of LLM usage.
Requirements:
- Strong background in Mathematics, Statistics, or Computer Science.
- Experience with deep learning frameworks like PyTorch or TensorFlow.
- Proven track record of publishing research or developing scalable AI systems.
- Bachelor's degree in Computer Science, Data Science, or a related field (Master's or PhD preferred).