United Arab Emirates onlyDesigns, tests, and refines prompts to optimize generative AI output quality, ensuring business-relevant, safe, and context-aware results through continuous prompt iteration.
Requirements
- 2–5 years of experience in data science, software engineering, NLP, computational linguistics, or related applied AI roles.
- Strong proficiency in Python and common AI/LLM libraries (Hugging Face, LangChain, OpenAI SDKs,...).
- Practical experience designing and testing prompts for LLMs (chatbots, copilots, content generation, or workflow automation).
- Understanding of LLM architectures, embeddings, RAG pipelines, and fine-tuning approaches at a working literacy level.
- Familiarity with evaluation methods for LLM outputs, including accuracy, hallucination reduction, bias detection, and A/B testing.
- Hands-on experience with API integration and connecting LLMs into enterprise workflows or apps.
- Exposure to MLOps concepts (deployment, monitoring, drift detection,...), with ability to collaborate effectively with engineering teams.
- Awareness of AI governance and responsible AI practices, including fairness, transparency, and brand alignment.
- Strong analytical and problem-solving skills, with the ability to translate business needs into effective AI prompts.
- Excellent communication and collaboration skills, working cross-functionally with product, business, and technical stakeholders.
Benefits
- Health care
- Child education contribution
- Remote and flexible working policies
- Exclusive employee discounts
EG, KE + 3 more
HK, SG + 1 more
