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AI Prompt Engineer

2 months ago

Cambridge, Cambridgeshire, United Kingdom TW Full time
About TW

At TW, we're a dynamic and innovative software development company at the forefront of AI technology. We're committed to pushing the boundaries of AI to revolutionise the legal sector and enhance human experiences.

Job Summary

We're seeking an experienced AI Prompt Engineer to join our team. As an AI Prompt Engineer, you will play a pivotal role in developing and refining AI language models, ensuring they generate accurate, coherent, and contextually relevant responses.

Key Responsibilities
  • Design and Implement AI Prompts: Develop creative and effective AI prompts that guide the behavior of language models.
  • Collaborate with AI Researchers: Work closely with AI researchers to develop, test, and iterate prompt engineering strategies.
  • Fine-Tune AI Models: Fine-tune AI models to produce high-quality, context-aware, and unbiased responses.
  • Explore Methods for Improvement: Investigate methods to improve the coherence, relevance, and diversity of AI-generated content.
  • Integrate with Software Engineers: Collaborate with software engineers to integrate prompt-engineered models into our products.
  • Stay Up-to-Date with AI Advancements: Stay current with the latest advancements in AI and natural language processing.
Requirements
  • Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, AI, or a related field.
  • Experience: Proven experience in text generation, or similar AI-related roles.
  • Skills: Experience in developing NLP models and systems, with a focus on prompt engineering or conversational AI. Advanced programming skills in languages such as Python, and experience with relevant libraries and frameworks.
  • Additional Requirements: Familiarity with AI model training, fine-tuning, and evaluation processes. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication skills to collaborate effectively with cross-functional teams.
Nice to Have
  • Experience with Large-Scale AI Model Deployment: Experience with deploying AI models in production environments.
  • Contributions to Open-Source AI Projects: Contributions to open-source AI projects or research publications.
  • Understanding of Ethical Considerations: Understanding of ethical considerations and bias mitigation in AI systems.