Seeking a specialist to optimize the performance and output of Large Language Models across multiple platforms. This role focuses on the science and art of Prompt Engineering - crafting, testing, and iterating on prompts to drive high-quality, production-ready AI applications.

Core Responsibilities :

- Prompt Optimization : Design and refine advanced prompts (Chain-of-Thought, few-shot) for accuracy, relevance, and consistency.

- Model Expertise : Systematically test and optimize performance across major LLMs.

- NLP & Integration : Apply NLP knowledge to control model behavior and collaborate on API integration into applications.

Preferred Platforms & Knowledge :

- Core Discipline : Deep expertise in Prompt Engineering (advanced techniques, iteration, testing).

- Generative AI Models : Hands-on experience with Google Gemini, ChatGPT (OpenAI), and models accessed via Azure OpenAI.

- Foundational Knowledge : Strong understanding of NLP (Natural Language Processing) and LLM Mechanics.

- Additional Knowledge : Model preference and behavioural testing, analytical skills, and familiarity with relevant scripting languages (e.g., Python).